Michelle Pearlman

938 citations
29 papers · 639 indexed · h-index 14
Topics
Muscle metabolism and nutrition (4 papers)Diet and metabolism studies (4 papers)Nutrition and Health in Aging (4 papers)
Partner nations
United StatesIndia

In The Last Decade

Michelle Pearlman

28 papers receiving 616 citations

Peers

Michelle Pearlman
Comparison fields: 5 of 105
  • Physiology 204
  • Nutrition and Dietetics 142
  • Public Health, Environmental and Occupational Health 118
  • Clinical Psychology 113
  • Epidemiology 102
Replace Amir Kalani with:
Amir Kalani United States
Seong-Ah Kim South Korea
G. Winkler Germany
Niina E. Kaartinen Finland
Yasumi Kimura Japan
Ghadeer S. Aljuraiban Saudi Arabia
Richard Kirwan United Kingdom
Asma Salari-Moghaddam Iran
Anthony Villani Australia
Shanna Yang United States
Michelle Pearlman relative to Amir Kalani United States Amir Kalani's profile →
Citations per field
00.5×10×13×
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Citations per year

Countries citing papers authored by Michelle Pearlman

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Pearlman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Pearlman

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Pearlman. A scholar is included among the top collaborators of Michelle Pearlman 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 Michelle Pearlman. Michelle Pearlman 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
#WorkIndexed citations
1 7
2 2
3 3
4 6
5 29
6 16
7 39
8 22
9 13
10 12
11 138
12 5
13 18
14 23
15 3
16 1
17 60
18 26
19 8
20 35

About Michelle Pearlman

Michelle Pearlman is a scholar working on Computational Mathematics, Gastroenterology and Physiology, having authored 29 papers that have together received 639 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (4 papers), Diet and metabolism studies (4 papers) and Nutrition and Health in Aging (4 papers). The work is most often cited by research in Nutrition and Dietetics (142 citations), Physiology (204 citations) and Hepatology (53 citations). Michelle Pearlman has collaborated with scholars based in United States and India. Frequent co-authors include Lisa Casey, Frances P. Thorndike, David A. F. Haaga, Elissa J. Brown, Lena Palmér, Gabriela Kuftinec, Rohit Loomba, Marylène Cloître, Paul Martin and Menaka Sarav. Their work appears in journals such as The American Journal of Gastroenterology, Addictive Behaviors and Journal of Clinical Psychology.

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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