Barbara C. Fam

3.0k total citations · 1 hit paper
32 papers, 2.4k citations indexed

About

Barbara C. Fam is a scholar working on Physiology, Molecular Biology and Surgery. According to data from OpenAlex, Barbara C. Fam has authored 32 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 14 papers in Molecular Biology and 11 papers in Surgery. Recurrent topics in Barbara C. Fam's work include Adipose Tissue and Metabolism (16 papers), Regulation of Appetite and Obesity (11 papers) and Pancreatic function and diabetes (11 papers). Barbara C. Fam is often cited by papers focused on Adipose Tissue and Metabolism (16 papers), Regulation of Appetite and Obesity (11 papers) and Pancreatic function and diabetes (11 papers). Barbara C. Fam collaborates with scholars based in Australia, United States and Canada. Barbara C. Fam's co-authors include Joseph Proietto, Sofianos Andrikopoulos, Amy R. Blair, Matthew J. Watt, Gregory R. Steinberg, Thomas W. H. Kay, Bruce E. Kemp, Mark A. Febbraio, Anne W. Thorburn and Bryce J. W. van Denderen and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Barbara C. Fam

31 papers receiving 2.4k citations

Hit Papers

Evaluating the glucose tolerance test in mice 2008 2026 2014 2020 2008 200 400 600

Peers

Barbara C. Fam
Comparison fields: 5 of 105
  • Molecular Biology 1.0k
  • Physiology 954
  • Epidemiology 539
  • Surgery 488
  • Endocrinology, Diabetes and Metabolism 432
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Junta Imai Japan View profile →
Citations per field, relative to Barbara C. Fam
Barbara C. Fam · 1×
Citations per year, relative to Barbara C. Fam
Barbara C. Fam · 1×

Countries citing papers authored by Barbara C. Fam

Since Specialization
Citations

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

Fields of papers citing papers by Barbara C. Fam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara C. Fam. 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 Barbara C. Fam. The network helps show where Barbara C. Fam may publish in the future.

Co-authorship network of co-authors of Barbara C. Fam

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara C. Fam. A scholar is included among the top collaborators of Barbara C. Fam 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 Barbara C. Fam. Barbara C. Fam 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 78
2 27
3 8
4 58
5 223
6 12
7 23
8 90
9
Increased fat mass in androgen receptor knockout mice is caused by decreased physical activity with no change in food consumption
1
10
Evaluating the glucose tolerance test in mice breakdown →
646
11 28
12 51
13 57
14 34
15 336
16 114
17 33
18 29
19 27
20 4

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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