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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Molecular Biology 42 3021 2748 76 73 84 7384

James K. Hane publications per year

The chart shows the history of publications by James K. Hane between 2005 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. James K. Hane published across 22 years, from 2005 to 2026, averaging 4.5 papers a year. Output peaked at 12 publications in 2016. 3 of the 99 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2005 to 2026. Vertical axis: number of publications, 0 to 12. Peak 12 publications in 2016. 2005: 2 publications 2006: 3 publications 2007: 5 publications 2008: 5 publications 2009: 1 publication 2010: 5 publications 2011: 6 publications 2012: 1 publication 2013: 5 publications 2014: 2 publications 2015: 10 publications 2016: 12 publications 2017: 2 publications 2018: 10 publications 2019: 3 publications 2020: 3 publications 2021: 6 publications 2022: 5 publications 2023: 5 publications 2024: 5 publications 2025: 2 publications 2026: 1 publication
2005 2026

99 publications in total across all disciplines

View publications per year as a table
James K. Hane: publications per year, 2005 to 2026
Year Publications
2005 2
2006 3
2007 5
2008 5
2009 1
2010 5
2011 6
2012 1
2013 5
2014 2
2015 10
2016 12
2017 2
2018 10
2019 3
2020 3
2021 6
2022 5
2023 5
2024 5
2025 2
2026 1
Total 99
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James K. Hane publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where James K. Hane sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 53 bars. Horizontal axis: publications, 47–56 to 564+. Vertical axis: number of scientists, 0 to 177. Most scientists, 177, have 117–126 publications. The last bar groups every scientist with 564 publications or more. The highlighted bar, 77–86 publications, is where this scientist sits. 47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47–56 publications 564+

This scientist: 84 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

View publications distribution as a table
Number of Molecular Biology scientists by publication count, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
Publications Scientists This scientist
47–56 7
57–66 17
67–76 65
77–86 90 84
87–96 125
97–106 131
107–116 162
117–126 177
127–136 158
137–146 158
147–156 146
157–166 159
167–176 131
177–186 110
187–196 112
197–206 100
207–216 89
217–226 98
227–236 74
237–246 72
247–256 63
257–266 53
267–276 54
277–286 49
287–296 52
297–306 43
307–316 46
317–326 41
327–336 42
337–346 31
347–356 28
357–366 29
367–376 26
377–386 24
387–396 24
397–406 14
407–416 13
417–426 20
427–436 12
437–446 20
447–456 11
457–466 10
467–476 14
477–486 14
487–496 10
497–506 13
507–516 13
517–526 2
527–536 4
537–546 6
547–556 8
557–563 6
564+ 100
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James K. Hane D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where James K. Hane sits on this spectrum.

No. of scientists
25 50 75 100 125
Bar chart with 54 bars. Horizontal axis: D-Index, 40–41 to 145+. Vertical axis: number of scientists, 0 to 131. Most scientists, 131, have 64–65 D-Index. The last bar groups every scientist with 145 D-Index or more. The highlighted bar, 42–43 D-Index, is where this scientist sits. 40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40–41 D-Index 145+

This scientist: 42 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

View D-Index distribution as a table
Number of Molecular Biology scientists by D-index, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
D-Index Scientists This scientist
40–41 36
42–43 101 42
44–45 115
46–47 121
48–49 118
50–51 130
52–53 106
54–55 116
56–57 113
58–59 129
60–61 120
62–63 105
64–65 131
66–67 95
68–69 97
70–71 106
72–73 83
74–75 89
76–77 77
78–79 70
80–81 73
82–83 60
84–85 48
86–87 45
88–89 50
90–91 31
92–93 51
94–95 43
96–97 38
98–99 39
100–101 41
102–103 29
104–105 33
106–107 35
108–109 20
110–111 38
112–113 19
114–115 28
116–117 13
118–119 23
120–121 16
122–123 15
124–125 11
126–127 21
128–129 7
130–131 13
132–133 14
134–135 17
136–137 9
138–139 8
140–141 16
142–143 7
144 7
145+ 100
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Overview

James K. Hane is affiliated with Curtin University in Australia and conducts research primarily within the fields of Agricultural and Biological Sciences, as well as Biochemistry, Genetics, and Molecular Biology. Their research focuses extensively on plant pathology and molecular interactions, particularly in the context of fungal diseases affecting plants.

The scientist's main areas of study include Plant Science, Cell Biology, Molecular Biology, Ecology, Evolution, Behavior and Systematics, and Genetics. Their work covers a range of topics related to plant pathogens and fungal diseases, plant disease resistance and genetics, plant-microbe interactions and immunity, as well as wheat and barley genetics and pathology. Additionally, they engage in studies on mycotoxins in agriculture and food, along with genomics and phylogenetic analyses.

James K. Hane's publication record highlights contributions to several journals. Prominent publication venues where they frequently appear include Frontiers in Microbiology, bioRxiv (Cold Spring Harbor Laboratory), the International Journal of Molecular Sciences, Scientific Reports, and BMC Genomics.

Selected recent papers authored or co-authored include:

  • "CATAStrophy," a Genome-Informed Trophic Classification of Filamentous Plant Pathogens - How Many Different Types of Filamentous Plant Pathogens Are There? (2020, Frontiers in Microbiology)
  • An automated and combinative method for the predictive ranking of candidate effector proteins of fungal plant pathogens (2021, Scientific Reports)
  • Chromosome-level genome assembly and manually-curated proteome of model necrotroph Parastagonospora nodorum Sn15 reveals a genome-wide trove of candidate effector homologs, and redundancy of virulence-related functions within an accessory chromosome (2021, BMC Genomics)
  • Reference Genome Assembly for Australian Ascochyta rabiei Isolate ArME14 (2020, G3 Genes Genomes Genetics)
  • Improved gene annotation of the fungal wheat pathogen Zymoseptoria tritici based on combined Iso-Seq and RNA-Seq evidence (2023, bioRxiv [Cold Spring Harbor Laboratory])

Frequent coauthors of James K. Hane include Darcy Jones, Lina Rozano, Ricardo L. Mancera, Kar-Chun Tan, and Johannes W. Debler. These collaborations have contributed to a consistent output of scientific work in the plant pathology domain.

The integration of genome-level analysis and molecular biology techniques is a characteristic feature of the scientist's methodology, focusing on both pathogen classification and functional genomics approaches within plant-pathogen systems.

No records of book publications or awards were found in the available data.

Best Publications

  • Draft genome sequence of chickpea ( Cicer arietinum ) provides a resource for trait improvement

    Rajeev K Varshney;Rajeev K Varshney;Chi Song;Rachit K Saxena;Sarwar Azam

  • Finished Genome of the Fungal Wheat Pathogen Mycosphaerella graminicola Reveals Dispensome Structure, Chromosome Plasticity, and Stealth Pathogenesis

    Stephen B. Goodwin;Sarrah Ben M'Barek;Braham Dhillon;Alexander H J Wittenberg

  • Effector diversification within compartments of the Leptosphaeria maculans genome affected by Repeat-Induced Point mutations

    Thierry Rouxel;Jonathan Grandaubert;James K. Hane;Claire Hoede

  • Dothideomycete-Plant Interactions Illuminated by Genome Sequencing and EST Analysis of the Wheat Pathogen Stagonospora nodorum

    James K. Hane;Rohan G.T. Lowe;Peter S. Solomon;Kar-Chun Tan

  • Comparative genomics of a plant-pathogenic fungus, Pyrenophora tritici-repentis, reveals transduplication and the impact of repeat elements on pathogenicity and population divergence.

    Viola A. Manning;Iovanna Pandelova;Braham Dhillon;Larry J. Wilhelm;Larry J. Wilhelm

  • A comprehensive draft genome sequence for lupin (Lupinus angustifolius), an emerging health food: insights into plant–microbe interactions and legume evolution

    James K. Hane;Yao Ming;Lars G. Kamphuis;Matthew N. Nelson

  • Genome Sequencing and Comparative Genomics of the Broad Host-Range Pathogen Rhizoctonia solani AG8

    James K. Hane;Jonathan P. Anderson;Angela H. Williams;Jana Sperschneider

  • CodingQuarry: highly accurate hidden Markov model gene prediction in fungal genomes using RNA-seq transcripts

    Alison C Testa;James K Hane;Simon R Ellwood;Richard P Oliver

  • Evolution of Linked Avirulence Effectors in Leptosphaeria maculans Is Affected by Genomic Environment and Exposure to Resistance Genes in Host Plants

    Angela P. Van de Wouw;Anton J. Cozijnsen;James K. Hane;Patrick C. Brunner

  • RIPCAL: a tool for alignment-based analysis of repeat-induced point mutations in fungal genomic sequences

    James K Hane;Richard P Oliver

  • The first gene-based map of Lupinus angustifolius L.-location of domestication genes and conserved synteny with Medicago truncatula

    Matthew N. Nelson;Huyen T. T. Phan;Simon R. Ellwood;Paula M. Moolhuijzen

  • Construction of a comparative genetic map in faba bean (Vicia faba L.); conservation of genome structure with Lens culinaris

    Simon R. Ellwood;Huyen T.T. Phan;Megan Jordan;James K. Hane

  • A novel mode of chromosomal evolution peculiar to filamentous Ascomycete fungi

    James K Hane;James K Hane;Thierry Rouxel;Barbara J Howlett;Gert H J Kema

  • Extensive macrosynteny between Medicago truncatula and Lens culinaris ssp. culinaris

    Huyen T. T. Phan;Simon R. Ellwood;James K. Hane;Rebecca Ford

  • Accessories Make the Outfit: Accessory Chromosomes and Other Dispensable DNA Regions in Plant-Pathogenic Fungi

    Stefania Bertazzoni;Angela H Williams;Darcy A Jones;Robert A Syme

  • Comparative genomics and prediction of conditionally dispensable sequences in legume-infecting Fusarium oxysporum formae speciales facilitates identification of candidate effectors

    Angela H. Williams;Mamta Sharma;Louise F. Thatcher;Sarwar Azam

  • A first genome assembly of the barley fungal pathogen Pyrenophora teres f. teres

    Simon R Ellwood;Zhaohui Liu;Rob A Syme;Zhibing Lai

  • OcculterCut: A Comprehensive Survey of AT-Rich Regions in Fungal Genomes

    Alison C. Testa;Richard P. Oliver;James K. Hane

  • Adapting legume crops to climate change using genomic approaches

    Mahsa Mousavi‐Derazmahalleh;Philipp E. Bayer;James K. Hane;Babu Valliyodan

  • Transcriptome sequencing of different narrow-leafed lupin tissue types provides a comprehensive uni-gene assembly and extensive gene-based molecular markers.

    Lars G. Kamphuis;Lars G. Kamphuis;James K. Hane;Matthew N. Nelson;Lingling Gao

Frequent Co-Authors

Richard P. Oliver
Richard P. Oliver Curtin University
Karam B. Singh
Karam B. Singh Commonwealth Scientific and Industrial Research Organisation
Lars G. Kamphuis
Lars G. Kamphuis Curtin University
Peter S. Solomon
Peter S. Solomon Australian National University
Matthew N. Nelson
Matthew N. Nelson Commonwealth Scientific and Industrial Research Organisation
Kar-Chun Tan
Kar-Chun Tan Curtin University
Rajeev K. Varshney
Rajeev K. Varshney Murdoch University
Simon R. Ellwood
Simon R. Ellwood Curtin University
Jana Sperschneider
Jana Sperschneider Australian National University
Timothy L. Friesen
Timothy L. Friesen United States Department of Agriculture

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