World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
73
Citations
23911
World Ranking
2020
National Ranking
922

Ingo Ruczinski publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Ingo Ruczinski sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 276 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Ingo Ruczinski D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Ingo Ruczinski sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 73 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Research.com Recognitions

  • 2016 - Fellow of the American Statistical Association (ASA)

Overview

Ingo Ruczinski is affiliated with Johns Hopkins University in the United States. Their research spans significant areas within medicine, biochemistry, genetics, and molecular biology, with a strong focus on genetics and molecular biology subfields. They have contributed extensively to infectious diseases, physiology, and pulmonary and respiratory medicine.

Ruczinski's work covers various main topics, including:

  • Genetic Associations and Epidemiology
  • Asthma and respiratory diseases
  • Monoclonal and Polyclonal Antibodies Research
  • Cleft Lip and Palate Research
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Food Allergy and Anaphylaxis Research
  • Craniofacial Disorders and Treatments

Their published research includes notable papers such as:

  • "Genome-wide Enrichment of De Novo Coding Mutations in Orofacial Cleft Trios," 2020, The American Journal of Human Genetics
  • "Antibody responses to endemic coronaviruses modulate COVID-19 convalescent plasma functionality," 2021, Journal of Clinical Investigation
  • "Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants," 2020, Nature Communications
  • "Pleiotropy method reveals genetic overlap between orofacial clefts at multiple novel loci from GWAS of multi-ethnic trios," 2021, PLoS Genetics
  • "Protective effect of club cell secretory protein (CC-16) on COPD risk and progression: a Mendelian randomisation study," 2020, Thorax

Ruczinski has collaborated frequently with several co-authors, including:

  • Rasika A. Mathias
  • Margaret A. Taub
  • Kathleen C. Barnes
  • Kai Kammers
  • H. Benjamin Larman

Their research has been published regularly in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • UNC Libraries
  • Journal of Allergy and Clinical Immunology
  • Nature Communications
  • Frontiers in Immunology

Ruczinski was awarded the title of Fellow of the American Statistical Association (ASA) in 2016.

Best Publications

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.

    Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson

  • Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations

    Dara G. Torgerson;Dara G. Torgerson;Elizabeth J. Ampleford;Grace Y. Chiu;W. James Gauderman

  • Random-coil behavior and the dimensions of chemically unfolded proteins

    Jonathan E. Kohn;Ian S. Millett;Jaby Jacob;Jaby Jacob;Bojan Zagrovic

  • Ab initio protein structure prediction of CASP III targets using ROSETTA

    Kim T. Simons;Rich Bonneau;Ingo Ruczinski;David Baker

  • Multiple loci associated with indices of renal function and chronic kidney disease

    Anna Köttgen;Nicole L. Glazer;Abbas Dehghan;Shih Jen Hwang

  • A genome-wide association study of cleft lip with and without cleft palate identifies risk variants near MAFB and ABCA4

    Terri H. Beaty;Jeffrey C. Murray;Mary L. Marazita;Ronald G. Munger

  • Detectable clonal mosaicism from birth to old age and its relationship to cancer.

    Cathy C. Laurie;Cecelia A Laurie;Kenneth Rice;Kimberly F. Doheny

  • Sensitive detection of chromosomal segments of distinct ancestry in admixed populations.

    Alkes L. Price;Arti Tandon;Arti Tandon;Nick Patterson;Kathleen C Barnes

  • Improved recognition of native-like protein structures using a combination of sequence-dependent and sequence-independent features of proteins.

    Kim T. Simons;Ingo Ruczinski;Charles Kooperberg;Brian A. Fox

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

    Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson

  • Experiment and theory highlight role of native state topology in SH3 folding.

    David S. Riddle;David S. Riddle;Viara P. Grantcharova;Jed V. Santiago;Eric Alm

  • Topology, stability, sequence, and length: Defining the determinants of two-state protein folding kinetics

    Kevin W. Plaxco;Kim T. Simons;Ingo Ruczinski;David Baker

  • Rosetta in CASP4: Progress in ab initio protein structure prediction

    Richard Bonneau;Jerry Tsai;Ingo Ruczinski;Dylan Chivian

  • Variants of DENND1B Associated with Asthma in Children

    Patrick M. A. Sleiman;James Flory;Marcin Imielinski;Jonathan P. Bradfield

  • Assembly of a pan-genome from deep sequencing of 910 humans of African descent

    Rachel M. Sherman;Juliet Forman;Juliet Forman;Valentin Antonescu;Daniela Puiu

  • Genome-wide Association Analysis Identifies PDE4D as an Asthma-Susceptibility Gene

    Blanca E. Himes;Gary M. Hunninghake;James W. Baurley;Nicholas M. Rafaels

  • Genome-wide meta-analyses of nonsyndromic cleft lip with or without cleft palate identify six new risk loci

    Kerstin U. Ludwig;Elisabeth Mangold;Stefan Herms;Stefanie Nowak;Stefanie Nowak

  • Identifying interacting SNPs using Monte Carlo logic regression.

    Charles Kooperberg;Ingo Ruczinski

  • Large-Scale Gene-Centric Meta-Analysis across 39 Studies Identifies Type 2 Diabetes Loci

    Richa Saxena;Richa Saxena;Clara C. Elbers;Clara C. Elbers;Yiran Guo;Inga Peter

  • Genome-wide association analyses for lung function and chronic obstructive pulmonary disease identify new loci and potential druggable targets

    Louise V. Wain;Louise V. Wain;Nick Shrine;María Soler Artigas;A. Mesut Erzurumluoglu

Frequent Co-Authors

Rasika A. Mathias
Rasika A. Mathias Johns Hopkins University
Terri H. Beaty
Terri H. Beaty Johns Hopkins University
Kathleen C. Barnes
Kathleen C. Barnes University of Colorado Denver
Nicholas Rafaels
Nicholas Rafaels University of Colorado Denver
Alan F. Scott
Alan F. Scott Johns Hopkins University
Mary L. Marazita
Mary L. Marazita University of Pittsburgh
Nadia N. Hansel
Nadia N. Hansel Johns Hopkins University
Ethylin Wang Jabs
Ethylin Wang Jabs Icahn School of Medicine at Mount Sinai
James G. Wilson
James G. Wilson University of Mississippi Medical Center
Lisa R. Yanek
Lisa R. Yanek Johns Hopkins University School of Medicine

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