A M Gown

21 total papers · 1.7k total citations
17 papers, 1.4k citations indexed

About

A M Gown is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, A M Gown has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in A M Gown's work include Sarcoma Diagnosis and Treatment (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Cell Adhesion Molecules Research (2 papers). A M Gown is often cited by papers focused on Sarcoma Diagnosis and Treatment (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Cell Adhesion Molecules Research (2 papers). A M Gown collaborates with scholars based in United States, Brazil and Russia. A M Gown's co-authors include Marc D. Coltrera, Russell Ross, David J. Gordon, Toyohiro Tsukada, Michael A. McNutt, Richard J. Zarbo, Gregory J. Raugi, John E. Olerud, Carlos E. Bacchi and Rochelle L. Garcia and has published in prestigious journals such as The Journal of Immunology, Journal of Investigative Dermatology and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

A M Gown

17 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
A M Gown 409 400 397 236 215 17 1.4k
A P Sappino 341 0.8× 327 0.8× 499 1.3× 271 1.1× 146 0.7× 25 1.5k
Monica L. Calicchio 528 1.3× 336 0.8× 341 0.9× 390 1.7× 244 1.1× 21 1.7k
C. C.‐W. Yu 622 1.5× 340 0.8× 534 1.3× 328 1.4× 268 1.2× 9 1.8k
S. Niemi 438 1.1× 229 0.6× 527 1.3× 235 1.0× 195 0.9× 14 1.8k
Maryanne Edens 839 2.1× 552 1.4× 264 0.7× 87 0.4× 242 1.1× 20 1.7k
Isabella Mosberger 360 0.9× 191 0.5× 264 0.7× 145 0.6× 266 1.2× 25 1.2k
M. A. Baker 699 1.7× 166 0.4× 400 1.0× 222 0.9× 122 0.6× 18 1.5k
M. Michele Hogan 315 0.8× 365 0.9× 174 0.4× 290 1.2× 116 0.5× 14 1.6k
P Maxwell 431 1.1× 274 0.7× 451 1.1× 320 1.4× 134 0.6× 40 1.5k
Roman Rieger 470 1.1× 182 0.5× 324 0.8× 536 2.3× 231 1.1× 22 1.7k

Countries citing papers authored by A M Gown

Since Specialization
Citations

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

Fields of papers citing papers by A M Gown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A M Gown. 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 A M Gown. The network helps show where A M Gown may publish in the future.

Co-authorship network of co-authors of A M Gown

This figure shows the co-authorship network connecting the top 25 collaborators of A M Gown. A scholar is included among the top collaborators of A M Gown 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 A M Gown. A M Gown 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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