E. J. Grossman

28 total papers · 737 total citations
20 papers, 601 citations indexed

About

E. J. Grossman is a scholar working on Molecular Biology, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, E. J. Grossman has authored 20 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in E. J. Grossman's work include Muscle Physiology and Disorders (10 papers), Muscle activation and electromyography studies (6 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). E. J. Grossman is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Muscle activation and electromyography studies (6 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). E. J. Grossman collaborates with scholars based in United States, Russia and Canada. E. J. Grossman's co-authors include Roland R. Roy, V. Reggie Edgerton, Robert J. Talmadge, Hui Zhong, R. E. Grindeland, John M. Casselman, John J. Collins, Peter E. Ihssen, George R. Spangler and G. L. Beggs and has published in prestigious journals such as Journal of Applied Physiology, Journal of Experimental Biology and Canadian Journal of Fisheries and Aquatic Sciences.

In The Last Decade

E. J. Grossman

19 papers receiving 540 citations

Author Peers

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

Author						Papers	Cites
E. J. Grossman	279	129	123	89	85	20	601
A. Fréminet	117 0.4×	199 1.5×	17 0.1×	40 0.4×	95 1.1×	43	628
H. Kobayashi	133 0.5×	68 0.5×	16 0.1×	40 0.4×	32 0.4×	23	609
Douglas R. Robertson	180 0.6×	72 0.6×	15 0.1×	53 0.6×	154 1.8×	40	618
Iwan Jones	227 0.8×	53 0.4×	26 0.2×	28 0.3×	50 0.6×	20	667
Tetsuo Kadota	142 0.5×	145 1.1×	9 0.1×	44 0.5×	65 0.8×	55	573
Takako Yasuda	217 0.8×	51 0.4×	9 0.1×	50 0.6×	82 1.0×	48	538
Robert F. Dunn	257 0.9×	41 0.3×	55 0.4×	56 0.6×	52 0.6×	28	547
Caroline A. Farrelly	129 0.5×	81 0.6×	5 0.0×	78 0.9×	29 0.3×	23	576
Bonifasius Putera Sampurna	154 0.6×	33 0.3×	28 0.2×	50 0.6×	223 2.6×	18	519
Kiyoshi Oshima	143 0.5×	54 0.4×	8 0.1×	42 0.5×	19 0.2×	50	685

Countries citing papers authored by E. J. Grossman

Since Specialization

Citations

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

Fields of papers citing papers by E. J. Grossman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. J. Grossman. 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 E. J. Grossman. The network helps show where E. J. Grossman may publish in the future.

Co-authorship network of co-authors of E. J. Grossman

This figure shows the co-authorship network connecting the top 25 collaborators of E. J. Grossman. A scholar is included among the top collaborators of E. J. Grossman 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 E. J. Grossman. E. J. Grossman 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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