Bin Cong

222 papers receiving 4.4k citations

Hit Papers

fw2.2 : A Quantitative Trait Locus Key to the Evolution of Tomato Fruit Size 2000 · 1.0k citations
1.0k20002026200820172505007501000

Peers

Bin Cong
Comparison fields: 5 of 161
  • Biological Psychiatry 162
  • Plant Science 1.4k
  • Behavioral Neuroscience 132
  • Complementary and alternative medicine 270
  • Horticulture 29
Replace Daqing Zhao with:
Daqing Zhao China
Carla Gentile Italy
Hitomi Takanaga Japan
Marco Racchi Italy
Cui Liu China
Do Yup Lee South Korea
Ning Yan China
Alberto Sanz Spain
Xue‐Mei Zhang China
Vladimir Tolstikov United States
Bin Cong relative to Daqing Zhao China Daqing Zhao's profile →
Citations per field
00.5×7.8×
Daqing Zhao · 1×
Citations per year

Countries citing papers authored by Bin Cong

Since Specialization
Citations

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

Fields of papers citing papers by Bin Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 237 papers — load more, or switch the sort, to bring in the rest.

#Work
1
fw2.2 : A Quantitative Trait Locus Key to the Evolution of Tomato Fruit Size
Hit paper breakdown →
20001035
2 2012366
3 1995165
4 2011162
5 2007119
6 199794
7 200975
8 201270
9 201966
10 201965
11 201464
12 201160
13 200759
14 201755
15 202152
16 201049
17 200848
18 202145
19 201040
20 202139

About Bin Cong

Bin Cong is a scholar working on Behavioral Neuroscience, Biological Psychiatry, Cellular and Molecular Neuroscience, Cancer Research and Toxicology, having authored 237 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (33 papers), Molecular Biology Techniques and Applications (25 papers), Forensic and Genetic Research (22 papers), Stress Responses and Cortisol (17 papers), Cancer Treatment and Pharmacology (16 papers), Immune Response and Inflammation (15 papers), Receptor Mechanisms and Signaling (14 papers) and MicroRNA in disease regulation (12 papers). The work is most often cited by research in Biological Psychiatry (162 citations), Plant Science (1.4k citations), Behavioral Neuroscience (132 citations), Complementary and alternative medicine (270 citations) and Horticulture (29 citations). Bin Cong has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Chunling Ma, Mei Dong, Steven D. Tanksley, Qing‐Wen Shi, Hiromasa Kiyota, Yu‐Cheng Gu, Silvana Grandillo, Kevin B. Alpert, Jarek Meller and Ron Elber. Their work appears in journals such as International Journal of Legal Medicine, International Journal of Molecular Sciences, Scientific Reports, Forensic Science International Genetics and Electrophoresis.

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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