Kimberly M. Brown

5.4k total citations · 1 hit paper
86 papers, 3.6k citations indexed

About

Kimberly M. Brown is a scholar working on Surgery, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kimberly M. Brown has authored 86 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Surgery, 23 papers in Oncology and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kimberly M. Brown's work include Innovations in Medical Education (13 papers), Surgical Simulation and Training (13 papers) and Pancreatic and Hepatic Oncology Research (12 papers). Kimberly M. Brown is often cited by papers focused on Innovations in Medical Education (13 papers), Surgical Simulation and Training (13 papers) and Pancreatic and Hepatic Oncology Research (12 papers). Kimberly M. Brown collaborates with scholars based in United States, Denmark and Ireland. Kimberly M. Brown's co-authors include Feng Xu, Elizabeth J. Golightly, Stephen H.M. Brown, Torben Halkier, David A. Geller, Michael Seropian, Jesika S. Gavilanes, Joel R. Cherry, Paul V. Harris and Hanshu Ding and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and PLoS ONE.

In The Last Decade

Kimberly M. Brown

83 papers receiving 3.4k citations

Hit Papers

Stimulation of Lignocellulosic Biomass Hydrolysis by Prot... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Kimberly M. Brown
Comparison fields: 5 of 151
  • Surgery 979
  • Plant Science 958
  • Biotechnology 815
  • Biomedical Engineering 779
  • Molecular Biology 756
Replace Kirsi Vähäkangas with:
Kirsi Vähäkangas Finland
Jiansheng Wang China
Steven R. Patierno United States
Kirsti Husgafvel‐Pursiainen Finland
Ming‐Shyan Huang Taiwan
James Hopkins United Kingdom
Mary E. Reid United States
Nurshad Ali Bangladesh
Karen K. L. Chan Hong Kong
Kirsi Vähäkangas Finland View profile →
Citations per field, relative to Kimberly M. Brown
Kimberly M. Brown · 1×
Citations per year, relative to Kimberly M. Brown
Kimberly M. Brown · 1×

Countries citing papers authored by Kimberly M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly M. Brown

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 0
4 22
5 9
6 18
7 41
8 5
9 65
10 49
11 28
12 6
13 43
14 29
15 36
16 72
17 220
18 18
19 11
20 50

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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