Bin Cong

218 papers receiving 4.5k citations

Bin Cong's Hit Papers

fw2.2 : A Quantitative Trait Locus Key to the Evolution of Tomato Fruit Size 2000 · 1.0k citations
1.0k0+8+17Years since publication2505007501000

Peers

Bin Cong
Comparison fields: 5 of 154
  • Biological Psychiatry 127
  • Plant Science 1.3k
  • Complementary and alternative medicine 257
  • Behavioral Neuroscience 106
  • Horticulture 27
Replace Junping Liu with:
Junping Liu Australia
Carla Gentile Italy
Hitomi Takanaga Japan
Cui Liu China
Do Yup Lee South Korea
Alberto Sanz Spain
Pedro F. Oliveira Portugal
Marco G. Alves Portugal
Yûkô Fukui Japan
Ning Yan China
Bin Cong relative to Junping Liu Australia Junping Liu's profile →
Citations per field
00.5×4.3×
Junping Liu · 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 231 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 →
20001047
2 2012375
3 2011166
4 1995165
5 2007121
6 199794
7 200976
8 201271
9 201968
10 201968
11 201465
12 201160
13 200759
14 201756
15 202152
16 201049
17 202149
18 200848
19 202142
20 201040

About Bin Cong

Bin Cong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cancer Research and Pharmacology, having authored 231 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (25 papers), Molecular Biology Techniques and Applications (24 papers), Forensic and Genetic Research (21 papers), Cancer Treatment and Pharmacology (16 papers), Stress Responses and Cortisol (14 papers), Microbial Natural Products and Biosynthesis (12 papers), Synthetic Organic Chemistry Methods (11 papers) and Immune Response and Inflammation (10 papers). The work is most often cited by research in Biological Psychiatry (127 citations), Plant Science (1.3k citations), Complementary and alternative medicine (257 citations), Behavioral Neuroscience (106 citations) and Horticulture (27 citations). Bin Cong has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Chunling Ma, Mei Dong, Steven D. Tanksley, Qing‐Wen Shi, Hiromasa Kiyota, Yu‐Cheng Gu, Teresa Nesbitt, Silvana Grandillo, Amy Frary and Jarek Meller. Their work appears in journals such as International Journal of Legal Medicine, Scientific Reports, Forensic Science International Genetics, International Journal of Molecular Sciences and Frontiers in Pharmacology.

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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