Lisa Brown

52 total papers · 730 total citations
33 papers, 332 citations indexed

About

Lisa Brown is a scholar working on Surgery, Oncology and Genetics. According to data from OpenAlex, Lisa Brown has authored 33 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 10 papers in Oncology and 8 papers in Genetics. Recurrent topics in Lisa Brown's work include Pancreatitis Pathology and Treatment (9 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Genetic Associations and Epidemiology (5 papers). Lisa Brown is often cited by papers focused on Pancreatitis Pathology and Treatment (9 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Genetic Associations and Epidemiology (5 papers). Lisa Brown collaborates with scholars based in United States, New Zealand and Australia. Lisa Brown's co-authors include John A. Windsor, Saxon Connor, Maxim S. Petrov, Anthony R.J. Phillips, Timothy A. Thornton, Sharon R. Browning, Alexander P. Reiner, Matthew Stephens, John Hart and Samrat Mondol and has published in prestigious journals such as Blood, PLoS ONE and Journal of the American Society of Nephrology.

In The Last Decade

Lisa Brown

28 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Lisa Brown 130 97 66 49 46 33 332
William S. Carpenter 72 0.6× 115 1.2× 24 0.4× 57 1.2× 49 1.1× 25 360
Yijun Zhao 137 1.1× 78 0.8× 23 0.3× 65 1.3× 21 0.5× 57 344
Wenzhu Li 40 0.3× 98 1.0× 73 1.1× 41 0.8× 30 0.7× 34 398
R Marshall 137 1.1× 17 0.2× 70 1.1× 75 1.5× 16 0.3× 31 375
John L. Creech 39 0.3× 87 0.9× 25 0.4× 71 1.4× 83 1.8× 16 396
Teresa Fernandes 125 1.0× 34 0.4× 80 1.2× 36 0.7× 18 0.4× 26 321
Zhenguo Qiao 73 0.6× 30 0.3× 95 1.4× 34 0.7× 121 2.6× 60 401
Leena Berg 206 1.6× 18 0.2× 30 0.5× 76 1.6× 38 0.8× 21 354
Robert F. Johnston 89 0.7× 18 0.2× 30 0.5× 95 1.9× 42 0.9× 17 320
José Luis Arroyo 22 0.2× 67 0.7× 44 0.7× 8 0.2× 59 1.3× 33 359

Countries citing papers authored by Lisa Brown

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Brown

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