World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
76
Citations
29067
World Ranking
4949
National Ranking
2378

David Alland publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where David Alland sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 217 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

David Alland D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where David Alland sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 76 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

David Alland is a researcher affiliated with Rutgers, The State University of New Jersey in the United States. Their main field of study is Medicine, with a focus on infectious diseases and epidemiology. Their research covers a broad range of topics primarily related to tuberculosis, respiratory infections, and viral diseases.

Alland's work spans several specific subfields, including:

  • Infectious Diseases
  • Epidemiology
  • Molecular Biology
  • Surgery
  • Biomedical Engineering

The major research topics they have contributed to include:

  • Tuberculosis Research and Epidemiology
  • Mycobacterium research and diagnosis
  • SARS-CoV-2 and COVID-19 Research
  • SARS-CoV-2 detection and testing
  • Diagnosis and treatment of tuberculosis
  • Pneumonia and Respiratory Infections
  • Viral gastroenteritis research and epidemiology

Alland has published numerous papers in respected scientific journals. Some of the recent papers they contributed to are:

  • "Multicenter Evaluation of the Cepheid Xpert Xpress SARS-CoV-2 Test," 2020, Journal of Clinical Microbiology
  • "Classification of early tuberculosis states to guide research for improved care and prevention: an international Delphi consensus exercise," 2024, The Lancet Respiratory Medicine
  • "Xpert MTB/XDR: a 10-Color Reflex Assay Suitable for Point-of-Care Settings To Detect Isoniazid, Fluoroquinolone, and Second-Line-Injectable-Drug Resistance Directly from Mycobacterium tuberculosis-Positive Sputum," 2020, Journal of Clinical Microbiology
  • "Mycobacterium tuberculosis bloodstream infection prevalence, diagnosis, and mortality risk in seriously ill adults with HIV: a systematic review and meta-analysis of individual patient data," 2020, The Lancet Infectious Diseases
  • "Mycobacterium tuberculosis progresses through two phases of latent infection in humans," 2020, Nature Communications

The venues where Alland frequently publishes their research include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Journal of Clinical Microbiology
  • Nature Communications
  • PLoS ONE

Throughout their career, Alland has collaborated frequently with several coauthors, including:

  • Soumitesh Chakravorty
  • Padmapriya P. Banada
  • Jerrold J. Ellner
  • Sukalyani Banik
  • Adam Penn-Nicholson

Best Publications

  • Rapid molecular detection of tuberculosis and rifampin resistance.

    Catharina C. Boehme;Pamela Nabeta;Doris Hillemann;Mark P. Nicol

  • A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria.

    Soumitesh Chakravorty;Danica Helb;Michele Burday;Nancy Connell

  • Feasibility, diagnostic accuracy, and effectiveness of decentralised use of the Xpert MTB/RIF test for diagnosis of tuberculosis and multidrug resistance: a multicentre implementation study

    Catharina C. Boehme;Mark P. Nicol;Mark P. Nicol;Pamela Nabeta;Joy S. Michael

  • Rapid Detection of Mycobacterium tuberculosis and Rifampin Resistance by Use of On-Demand, Near-Patient Technology

    Danica Helb;Martin Jones;Elizabeth Story;Catharina Boehme

  • Transmission of tuberculosis in New York City. An analysis by DNA fingerprinting and conventional epidemiologic methods

    David Alland;Gary E. Kalkut;Andrew R. Moss;Ruth A. McAdam

  • Whole-Genome Comparison of Mycobacterium tuberculosis Clinical and Laboratory Strains

    R. D. Fleischmann;D. Alland;Jonathan A Eisen;L. Carpenter

  • Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre diagnostic accuracy study

    Susan E Dorman;Samuel G Schumacher;David Alland;Pamela Nabeta

  • The New Xpert MTB/RIF Ultra: Improving Detection of Mycobacterium tuberculosis and Resistance to Rifampin in an Assay Suitable for Point-of-Care Testing.

    Soumitesh Chakravorty;Ann Marie Simmons;Mazhgan Rowneki;Heta Parmar

  • Better tests, better care: improved diagnostics for infectious diseases.

    Angela M. Caliendo;David N. Gilbert;David N. Gilbert;Christine C. Ginocchio;Kimberly E. Hanson

  • Evaluation of the Analytical Performance of the Xpert MTB/RIF Assay

    Robert Blakemore;Elizabeth Story;Danica Helb;JoAnn Kop

  • Molecular beacon sequence analysis for detecting drug resistance in Mycobacterium tuberculosis

    Amy S. Piatek;Sanjay Tyagi;Arno C. Pol;Amalio Telenti

  • SQ109 Targets MmpL3, a Membrane Transporter of Trehalose Monomycolate Involved in Mycolic Acid Donation to the Cell Wall Core of Mycobacterium tuberculosis

    Kapil Tahlan;Regina Wilson;David B. Kastrinsky;Kriti Arora

  • Variation in virulence among clades of Escherichia coli O157:H7 associated with disease outbreaks

    Shannon D. Manning;Alifiya S. Motiwala;A. Cody Springman;Weihong Qi

  • A Multi-institutional Outbreak of Highly Drug-Resistant Tuberculosis: Epidemiology and Clinical Outcomes

    Thomas R. Frieden;Lisa Fine Sherman;Khin Lay Maw;Paula I. Fujiwara

  • Population Genetics Study of Isoniazid Resistance Mutations and Evolution of Multidrug-Resistant Mycobacterium tuberculosis

    Manzour Hernando Hazbón;Michael Brimacombe;Miriam Bobadilla del Valle;Magali Cavatore

  • Xpert MTB/RIF: a New Pillar in Diagnosis of Extrapulmonary Tuberculosis?

    Viral Vadwai;Catharina Boehme;Pamela Nabeta;Anjali Shetty

  • SIMULTANEOUS GENOTYPING AND SPECIES IDENTIFICATION USING HYBRIDIZATION PATTERN RECOGNITION ANALYSIS OF GENERIC MYCOBACTERIUM DNA ARRAYS

    Thomas R. Gingeras;Ghassan Ghandour;Eugene Wang;Anthony Berno

  • Global Phylogeny of Mycobacterium tuberculosis Based on Single Nucleotide Polymorphism (SNP) Analysis: Insights into Tuberculosis Evolution, Phylogenetic Accuracy of Other DNA Fingerprinting Systems, and Recommendations for a Minimal Standard SNP Set

    Ingrid Filliol;Alifiya S. Motiwala;Magali Cavatore;Weihong Qi

  • Transfer of a point mutation in Mycobacterium tuberculosis inhA resolves the target of isoniazid.

    Catherine Vilchèze;Feng Wang;Masayoshi Arai;Manzour Hernando Hazbón

  • Targeting tuberculosis and malaria through inhibition of Enoyl reductase: compound activity and structural data.

    Mack R. Kuo;Hector R. Morbidoni;David Alland;Scott F. Sneddon

Frequent Co-Authors

William R. Jacobs
William R. Jacobs Albert Einstein College of Medicine
Fred Russell Kramer
Fred Russell Kramer Rutgers, The State University of New Jersey
James C. Sacchettini
James C. Sacchettini Texas A&M University
Sanjay Tyagi
Sanjay Tyagi Rutgers, The State University of New Jersey
Catherine Vilchèze
Catherine Vilchèze Albert Einstein College of Medicine
Laurent Kremer
Laurent Kremer Institut de Recherche en Infectiologie de Montpellier
Clifton E. Barry
Clifton E. Barry National Institute of Allergy and Infectious Diseases
Sang-Nae Cho
Sang-Nae Cho Yonsei University
Mark P. Nicol
Mark P. Nicol University of Western Australia
Laura E. Via
Laura E. Via National Institutes of Health

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