Thomas Lamb

58 papers receiving 718 citations

Peers

Thomas Lamb
Comparison fields: 5 of 139
  • Virology 88
  • Industrial and Manufacturing Engineering 88
  • Endocrine and Autonomic Systems 58
  • Health, Toxicology and Mutagenesis 108
  • Physiology 184
Replace Jong Wook Lee with:
Jong Wook Lee South Korea
Lianbing Li China
Vincent Vincent Indonesia
Chien‐Wei Chen Taiwan
Hannu Laaksonen Finland
Kirill Andreev United States
Shushan Zhang China
Viet Pham United States
Janice Camp United States
Thomas Lamb relative to Jong Wook Lee South Korea Jong Wook Lee's profile →
Citations per field
00.5×10×20×29×
Jong Wook Lee · 1×
Citations per year

Countries citing papers authored by Thomas Lamb

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019109
2 201746
3 202039
4 195736
5 202133
6 196628
7 202026
8 202024
9 201624
10 196623
11 196523
12 200521
13 200219
14 201619
15 200818
16 200917
17 201616
18
COLUMBIA RIVER INTER-TRIBAL FISH COMMISSION
200215
19 202215
20 199614

About Thomas Lamb

Thomas Lamb is a scholar working on Industrial and Manufacturing Engineering, Genetics, Physiology, Virology and Molecular Biology, having authored 64 papers that have together received 767 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (9 papers), Maritime Ports and Logistics (8 papers), Smoking Behavior and Cessation (7 papers), Rabies epidemiology and control (6 papers), Manufacturing Process and Optimization (5 papers), Technology Assessment and Management (5 papers), Insect and Pesticide Research (4 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Virology (88 citations), Industrial and Manufacturing Engineering (88 citations), Endocrine and Autonomic Systems (58 citations), Health, Toxicology and Mutagenesis (108 citations) and Physiology (184 citations). Thomas Lamb has collaborated with scholars based in United States, United Kingdom and Laos. Frequent co-authors include Irfan Rahman, Thivanka Muthumalage, Michelle R. Friedman, S.M. Tenney, Harold H. Kelley, Michael Eddleston, Jeffrey Κ. Liker, Luc de Haro, Davide Lonati and Miran Brvar. Their work appears in journals such as Journal of Applied Physiology, Clinical Toxicology, Transactions of the Royal Society of Tropical Medicine and Hygiene, Toxics and PLoS neglected tropical diseases.

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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