Jennifer K. Yee

1.2k citations
44 papers · 833 indexed · h-index 17
Topics
Obesity, Physical Activity, Diet (6 papers)Fatty Acid Research and Health (6 papers)Adipose Tissue and Metabolism (6 papers)
Partner nations
United StatesChinaIsrael

In The Last Decade

Jennifer K. Yee

44 papers receiving 808 citations

Peers

Jennifer K. Yee
Comparison fields: 5 of 116
  • Molecular Biology 255
  • Endocrinology, Diabetes and Metabolism 174
  • Physiology 165
  • Epidemiology 120
  • Pediatrics, Perinatology and Child Health 111
Replace Yanfang Wang with:
Yanfang Wang China
Stefan Blankenberg Germany
Akiko Harada Japan
Felix Knauf Germany
Nikolaos Spyrou United States
Yan Wu China
Keiko Maruyama Japan
Daniel Seung Kim United States
Nina B. Radford United States
Martina Weber Germany
Jennifer K. Yee relative to Yanfang Wang China Yanfang Wang's profile →
Citations per field
00.5×1.5×2.4×
Yanfang Wang · 1×
Citations per year

Countries citing papers authored by Jennifer K. Yee

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer K. Yee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer K. Yee. 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 Jennifer K. Yee. The network helps show where Jennifer K. Yee may publish in the future.

Co-authorship network of co-authors of Jennifer K. Yee

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer K. Yee. A scholar is included among the top collaborators of Jennifer K. Yee 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 Jennifer K. Yee. Jennifer K. Yee 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 4
2 1
3 9
4 3
5 1
6 3
7 12
8 16
9 3
10 11
11 48
12 71
13 30
14 12
15 3
16 18
17 14
18 26
19 6
20 20

About Jennifer K. Yee

Jennifer K. Yee is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy and Clinical Biochemistry, having authored 44 papers that have together received 833 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (6 papers), Fatty Acid Research and Health (6 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (174 citations), Internal Medicine (24 citations) and Physiology (165 citations). Jennifer K. Yee has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Catherine S. Mao, Paulin N. Wahjudi, Shu Lim, Wai‐Nang Paul Lee, Qing‐Yi Lu, Vay‐Liang W. Go, Zuo‐Feng Zhang, Mina Desai, Michael G. Ross and Ronald S. Swerdloff. Their work appears in journals such as Diabetes Care, Endocrinology and Journal of the American Society of Nephrology.

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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