Gordon Lemmon

3.4k citations
21 papers · 2.5k · 1 hit paper · h-index 14

Impact in

Papers in

Gordon Lemmon

21 papers receiving 2.5k citations

Gordon Lemmon's Hit Papers

Genomic Landscape of Ewing Sarcoma Defines an Aggressive Subtype with Co-Association of STAG2 and TP53 Mutations 2014 · 419 citations
4190+4+8Years since publication100200300400

Peers

Gordon Lemmon
Comparison fields: 5 of 126
  • Molecular Biology 1.5k
  • Agronomy and Crop Science 207
  • Cancer Research 182
  • Infectious Diseases 235
  • Epidemiology 411
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Citations per year

Countries citing papers authored by Gordon Lemmon

Since Specialization
Citations

This map shows the geographic impact of Gordon Lemmon'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 Gordon Lemmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon Lemmon more than expected).

Fields of papers citing papers by Gordon Lemmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon Lemmon. 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 Gordon Lemmon. The network helps show where Gordon Lemmon may publish in the future.

Co-authors

The 25 scholars most cited alongside Gordon Lemmon, 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 Gordon Lemmon Line = papers co-authored together Gordon Lemmon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011505
2
Genomic Landscape of Ewing Sarcoma Defines an Aggressive Subtype with Co-Association of STAG2 and TP53 Mutations
Hit paper breakdown →
2014419
3 2010332
4 2014312
5 2014304
6 2011153
7 2013148
8 201370
9 201966
10 200847
11 201543
12 200729
13 202227
14 201324
15 202113
16 201213
17 201410
18 20215
19 20222
20 20132

About Gordon Lemmon

Gordon Lemmon is a scholar working on Molecular Biology, Health Information Management, Epidemiology, Computational Theory and Mathematics and Infectious Diseases, having authored 21 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (4 papers), Computational Drug Discovery Methods (3 papers), Chronic Disease Management Strategies (2 papers), Influenza Virus Research Studies (2 papers), HIV/AIDS drug development and treatment (2 papers), Genomics and Rare Diseases (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Agronomy and Crop Science (207 citations), Cancer Research (182 citations), Infectious Diseases (235 citations) and Epidemiology (411 citations). Gordon Lemmon has collaborated with scholars based in United States, China and France. Frequent co-authors include Jens Meiler, Jonathan H. Sheehan, Samuel DeLuca, Kristian W. Kaufmann, Florian Martin Richter, Jacob E. Corn, Sarel Jacob Fleishman, Eva‐Maria Strauch, Paul M. Murphy and Sagar D. Khare. Their work appears in journals such as Nature Communications, PLoS ONE, Cancer Discovery, Nature Computational Science and Journal of Computer-Aided Molecular Design.

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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