Melissa Brown

45 papers receiving 872 citations

Peers

Melissa Brown
Comparison fields: 5 of 129
  • Orthodontics 37
  • Nature and Landscape Conservation 106
  • Hepatology 47
  • Endocrinology, Diabetes and Metabolism 87
  • Surgery 188
Replace Xiaohui Zhou with:
Xiaohui Zhou China
Guillermo Moisés Zúñiga‐González Mexico
Belinda Claudia Gómez‐Meda Mexico
Akira Miyazaki Japan
Ana Lourdes Zamora-Pérez Mexico
Christine Mayer Germany
Harri M. Salo Finland
Daniel A. Gorelick United States
Shanshan Liu China
Jia Wan China
Melissa Brown relative to Xiaohui Zhou China Xiaohui Zhou's profile →
Citations per field
00.5×4.3×
Xiaohui Zhou · 1×
Citations per year

Countries citing papers authored by Melissa Brown

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Melissa Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Melissa Brown Line = papers co-authored together Melissa Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004176
2 201961
3 201053
4 201151
5 200251
6 201148
7 200743
8 201339
9 200536
10 199233
11 201431
12 202223
13 201323
14 201122
15 201220
16 201616
17 200716
18 201514
19 201414
20 202012

About Melissa Brown

Melissa Brown is a scholar working on Surgery, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and General Health Professions, having authored 45 papers that have together received 897 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Genetic Syndromes and Imprinting (4 papers), Diabetes and associated disorders (3 papers), Hepatitis C virus research (3 papers), Muscle metabolism and nutrition (2 papers), Urban Transport and Accessibility (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Orthodontics (37 citations), Nature and Landscape Conservation (106 citations), Hepatology (47 citations), Endocrinology, Diabetes and Metabolism (87 citations) and Surgery (188 citations). Melissa Brown has collaborated with scholars based in United States, Italy and New Zealand. Frequent co-authors include Alan L. Schneyer, Nathan Ungerleider, Rodney G. Lym, Mark Renz, Joseph M. DiTomaso, Peter M. Rice, John J. Jachetta, Kirk C. McDaniel, Cristiana Rastellini and Luca Cicalese. Their work appears in journals such as Endocrinology, Journal of Burn Care & Research, Trends in Endocrinology and Metabolism, Journal of American College Health and Gastroenterology.

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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