Michael Lang

1.9k citations
31 papers · 1.0k · h-index 15

Impact in

  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • Cellular transport and secretion
  • Genetics top 10%
    • Genetic diversity and population structure

Papers in

    • Developmental Biology and Gene Regulation 5
    • Insect and Arachnid Ecology and Behavior 5
    • Genetic diversity and population structure 3

Michael Lang

29 papers receiving 1.0k citations

Peers

Michael Lang
Comparison fields: 5 of 108
  • Cell Biology 204
  • Genetics 296
  • Molecular Biology 513
  • Ecology, Evolution, Behavior and Systematics 142
  • Insect Science 90
Replace Akimasa Fukui with:
Akimasa Fukui Japan
Elena Silva Casey United States
Alexander Brandt Switzerland
Yoshiyasu Ishimaru Japan
Isabelle Delon United Kingdom
Martina Rembold Germany
Hiroshi Tarui Japan
Anaïs F. Bardet France
Chong Pyo Choe South Korea
Xavier Franch‐Marro Spain
Michael Lang relative to Akimasa Fukui Japan Akimasa Fukui's profile →
Citations per field
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Akimasa Fukui · 1×
Citations per year

Countries citing papers authored by Michael Lang

Since Specialization
Citations

This map shows the geographic impact of Michael Lang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lang more than expected).

Fields of papers citing papers by Michael Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Lang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Lang. The network helps show where Michael Lang may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Lang Line = papers co-authored together Michael Lang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006154
2 2021138
3 200996
4 201896
5 200685
6 201266
7 200965
8 200946
9 201037
10 200134
11 200534
12 201219
13 200617
14 200715
15 201015
16 201113
17 201612
18 201312
19 201411
20 201910

About Michael Lang

Michael Lang is a scholar working on Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, Plant Science and Cell Biology, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (8 papers), Plant and animal studies (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Developmental Biology and Gene Regulation (5 papers), Chromosomal and Genetic Variations (4 papers), Genetic diversity and population structure (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Insect behavior and control techniques (3 papers). The work is most often cited by research in Cell Biology (204 citations), Genetics (296 citations), Molecular Biology (513 citations), Ecology, Evolution, Behavior and Systematics (142 citations) and Insect Science (90 citations). Michael Lang has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Ela W. Knapik, Virginie Courtier‐Orgogozo, James R. Goldenring, Lynne A. Lapierre, Michael Frotscher, David M. Parichy, Daniel R. Matute, Meinrad Gawaz, Sherri Weiss Sachdev and Larissa B. Patterson. Their work appears in journals such as BMC Evolutionary Biology, Journal of Experimental Zoology Part B Molecular and Developmental Evolution, Journal of Thrombosis and Haemostasis, Scientific Reports and Nature Genetics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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