Jacob Thomas

10 total papers · 947 total citations
6 papers, 465 citations indexed

About

Jacob Thomas is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Jacob Thomas has authored 6 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Jacob Thomas's work include Neuropeptides and Animal Physiology (4 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers) and Pain Mechanisms and Treatments (2 papers). Jacob Thomas is often cited by papers focused on Neuropeptides and Animal Physiology (4 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers) and Pain Mechanisms and Treatments (2 papers). Jacob Thomas collaborates with scholars based in Australia and United States. Jacob Thomas's co-authors include Mark R. Hutchinson, Andrew A. Somogyi, Linda R. Watkins, Armando J. de Jesus, Hang Yin, Xiaohui Wang, Lisa C. Loram, Kui Cheng, Khara M. Ramos and Sanam Mustafa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Brain Behavior and Immunity.

In The Last Decade

Jacob Thomas

6 papers receiving 462 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jacob Thomas	230	158	140	128	71	6	465
Chun-Lin Mai	161 0.7×	299 1.9×	97 0.7×	142 1.1×	39 0.5×	11	512
Lois E. McCarthy	289 1.3×	118 0.7×	169 1.2×	59 0.5×	35 0.5×	10	542
Nathan D. Anderson	109 0.5×	262 1.7×	113 0.8×	114 0.9×	39 0.5×	6	468
Kristina S. Vikman	201 0.9×	244 1.5×	141 1.0×	82 0.6×	28 0.4×	10	434
Clayton A. Wiley	124 0.5×	165 1.0×	110 0.8×	233 1.8×	87 1.2×	14	478
Vanessa Tortelli	195 0.8×	174 1.1×	167 1.2×	293 2.3×	61 0.9×	6	546
Tomer Illouz	85 0.4×	174 1.1×	123 0.9×	193 1.5×	86 1.2×	14	480
Tracy Kloczynski	148 0.6×	99 0.6×	186 1.3×	102 0.8×	90 1.3×	10	416
Heather Leduc‐Pessah	202 0.9×	290 1.8×	190 1.4×	105 0.8×	29 0.4×	16	537
Evangelina Ávila-Muñoz	83 0.4×	171 1.1×	159 1.1×	133 1.0×	64 0.9×	9	442

Countries citing papers authored by Jacob Thomas

Since Specialization

Citations

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

Fields of papers citing papers by Jacob Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Thomas. A scholar is included among the top collaborators of Jacob Thomas 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 Jacob Thomas. Jacob Thomas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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