Michelle L. Lamb

4.0k citations
37 papers · 1.9k indexed · 1 hit paper · h-index 22
Topics
Computational Drug Discovery Methods (9 papers)Protein Structure and Dynamics (7 papers)Chemical Synthesis and Analysis (7 papers)

In The Last Decade

Michelle L. Lamb

36 papers receiving 1.8k citations

Hit Papers

Accurate Prediction of the Relative Potencies of Members ...20062026201220192006100200300400500

Peers

Michelle L. Lamb
Comparison fields: 5 of 116
  • Molecular Biology 1.2k
  • Computational Theory and Mathematics 506
  • Organic Chemistry 453
  • Oncology 327
  • Materials Chemistry 156
Replace Paul Bamborough with:
Paul Bamborough United Kingdom
Dmitri Kireev United States
Thomas Lundbäck Sweden
Jeremy S. Caldwell United States
Elizabeth A. Lunney United States
John S. Sack United States
Martin J. Drysdale United Kingdom
Christina Kiel Spain
Ganesha Rai United States
M. Sundström Sweden
Michelle L. Lamb relative to Paul Bamborough United Kingdom Paul Bamborough's profile →
Citations per field
00.5×1.5×
Paul Bamborough · 1×
Citations per year

Countries citing papers authored by Michelle L. Lamb

Since Specialization
Citations

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

Fields of papers citing papers by Michelle L. Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle L. Lamb. 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 Michelle L. Lamb. The network helps show where Michelle L. Lamb may publish in the future.

Co-authorship network of co-authors of Michelle L. Lamb

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle L. Lamb. A scholar is included among the top collaborators of Michelle L. Lamb 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 Michelle L. Lamb. Michelle L. Lamb 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 1
2 0
3 1
4 10
5 45
6 33
7 5
8 162
9 17
10 85
11 12
12 15
13 21
14 5
15 67
16 44
17 30
18 54
19 91
20 25

About Michelle L. Lamb

Michelle L. Lamb is a scholar working on Computational Theory and Mathematics, Virology and Genetics, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (7 papers) and Chemical Synthesis and Analysis (7 papers). The work is most often cited by research in Computational Theory and Mathematics (506 citations), Molecular Biology (1.2k citations) and Organic Chemistry (453 citations). Michelle L. Lamb has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Paul D. Lyne, Jamal Saeh, William L. Jorgensen, Diane Joseph‐McCarthy, Julian Tirado‐Rives, Tao Wang, Dingwei Yu, Alexander W. Hird, Nancy Su and Claudio Chuaqui. Their work appears in journals such as Blood, Cancer Research and Biochemical Journal.

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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