Thompson N. Doman

2.4k citations
24 papers · 1.5k indexed · h-index 12
Topics
Cancer Immunotherapy and Biomarkers (7 papers)Computational Drug Discovery Methods (5 papers)Magnetism in coordination complexes (4 papers)

In The Last Decade

Thompson N. Doman

24 papers receiving 1.4k citations

Peers

Thompson N. Doman
Comparison fields: 5 of 109
  • Molecular Biology 831
  • Computational Theory and Mathematics 501
  • Organic Chemistry 345
  • Oncology 249
  • Materials Chemistry 153
Replace Brian Y. Feng with:
Brian Y. Feng United States
Robin A. E. Carr United Kingdom
Mario Lobell Germany
Anne Cleasby United Kingdom
M. Elizabeth Sobhia India
Mark McGann United States
Jacopo Sgrignani Italy
Sundarapandian Thangapandian South Korea
Brian Springthorpe United Kingdom
Masaya Orita Japan
Thompson N. Doman relative to Brian Y. Feng United States Brian Y. Feng's profile →
Citations per field
00.5×1.5×1.8×
Brian Y. Feng · 1×
Citations per year

Countries citing papers authored by Thompson N. Doman

Since Specialization
Citations

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

Fields of papers citing papers by Thompson N. Doman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thompson N. Doman. 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 Thompson N. Doman. The network helps show where Thompson N. Doman may publish in the future.

Co-authorship network of co-authors of Thompson N. Doman

This figure shows the co-authorship network connecting the top 25 collaborators of Thompson N. Doman. A scholar is included among the top collaborators of Thompson N. Doman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thompson N. Doman. Thompson N. Doman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 7
3 29
4 4
5 8
6 1
7 1
8 2
9 55
10 108
11 61
12 257
13 392
14 1
15 28
16 45
17 71
18 60
19 18
20 6

About Thompson N. Doman

Thompson N. Doman is a scholar working on Oncology, Biological Psychiatry and Computational Theory and Mathematics, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Computational Drug Discovery Methods (5 papers) and Magnetism in coordination complexes (4 papers). The work is most often cited by research in Computational Theory and Mathematics (501 citations), Molecular Biology (831 citations) and Organic Chemistry (345 citations). Thompson N. Doman has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Brian K. Shoichet, Susan L. McGovern, Brian Y. Feng, R. Kiplin Guy, Anang A. Shelat, Daniel T. Connolly, William C. Stallings, Ravi G. Kurumbail, Thomas P. Kasten and Bryan J. Witherbee. Their work appears in journals such as Journal of the American Chemical Society, PLoS ONE and Cancer Research.

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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