Sheng Bi

163 papers receiving 4.9k citations

Peers

Sheng Bi
Comparison fields: 5 of 148
  • Endocrine and Autonomic Systems 1.6k
  • Molecular Medicine 337
  • Physiology 1.3k
  • Nutrition and Dietetics 644
  • Behavioral Neuroscience 101
Replace Hun‐Taeg Chung with:
Hun‐Taeg Chung South Korea
Wenkai Ren China
Prakash Nagarkatti United States
J. T. Smith United Kingdom
Ron Kohen Israel
Jie Yin China
Mark W. Musch United States
Mitzi Nagarkatti United States
Wen‐Sen Lee Taiwan
Eeva Moilanen Finland
Sheng Bi relative to Hun‐Taeg Chung South Korea Hun‐Taeg Chung's profile →
Citations per field
00.5×3.5×
Hun‐Taeg Chung · 1×
Citations per year

Countries citing papers authored by Sheng Bi

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sheng Bi, 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 Sheng Bi Line = papers co-authored together Sheng Bi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996199
2 2017180
3 2003171
4 2011157
5 2013157
6 1997149
7 2001131
8 2009125
9 2004107
10 2006101
11 201496
12 200487
13 200885
14 200474
15 201969
16 201267
17 201866
18 200563
19 200263
20 201062

About Sheng Bi

Sheng Bi is a scholar working on Endocrine and Autonomic Systems, Physiology, Molecular Biology, Nutrition and Dietetics and Epidemiology, having authored 168 papers that have together received 4.9k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (42 papers), Adipose Tissue and Metabolism (25 papers), Biochemical Analysis and Sensing Techniques (16 papers), Neuropeptides and Animal Physiology (11 papers), Sleep and Wakefulness Research (10 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Antibiotic Resistance in Bacteria (8 papers) and Reproductive biology and impacts on aquatic species (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.6k citations), Molecular Medicine (337 citations), Physiology (1.3k citations), Nutrition and Dietetics (644 citations) and Behavioral Neuroscience (101 citations). Sheng Bi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Timothy H. Moran, Karen A. Scott, Ellen E. Ladenheim, Jayson Hyun, Marc L. Reitman, Bruce D. Weintraub, Benjamin M. Robinson, Liang Yang, Richard E. Pratley and Oksana Gavrilova. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Antimicrobial Agents and Chemotherapy, Aquaculture, Endocrinology and Physiology & Behavior.

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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