Bing Gong

3.9k total citations
52 papers, 3.0k citations indexed

About

Bing Gong is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bing Gong has authored 52 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 17 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bing Gong's work include Alzheimer's disease research and treatments (17 papers), Cardiac Ischemia and Reperfusion (6 papers) and Adipose Tissue and Metabolism (4 papers). Bing Gong is often cited by papers focused on Alzheimer's disease research and treatments (17 papers), Cardiac Ischemia and Reperfusion (6 papers) and Adipose Tissue and Metabolism (4 papers). Bing Gong collaborates with scholars based in China, United States and Japan. Bing Gong's co-authors include Ottavio Arancio, Michael L. Shelanski, Ottavio V. Vitolo, Giulio Maria Pasinetti, Fabrizio Trinchese, Shumin Liu, Jun Wang, Lap Ho, Elena Leznik and Wei Zhao and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Bing Gong

49 papers receiving 3.0k citations

Peers

Bing Gong
Comparison fields: 5 of 120
  • Molecular Biology 1.4k
  • Physiology 1.1k
  • Cellular and Molecular Neuroscience 472
  • Pharmacology 423
  • Epidemiology 338
Replace Gyeong Jae Cho with:
Gyeong Jae Cho South Korea
Gu Seob Roh South Korea
Ester Verdaguer Spain
Wan Sung Choi South Korea
Valérie Vingtdeux United States
Saravanan S. Karuppagounder United States
Peizhong Mao United States
Lei Zhao China
Jiangping Xu China
Gyeong Jae Cho South Korea View profile →
Citations per field, relative to Bing Gong
Bing Gong · 1×
Citations per year, relative to Bing Gong
Bing Gong · 1×

Countries citing papers authored by Bing Gong

Since Specialization
Citations

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

Fields of papers citing papers by Bing Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Gong. A scholar is included among the top collaborators of Bing Gong 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 Bing Gong. Bing Gong 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 0
2 0
3 3
4 3
5 14
6 1
7 36
8 89
9 184
10 29
11 133
12 44
13 289
14 35
15 73
16 190
17 37
18 353
19 360
20 44

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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