Jing Jin

6.1k citations
135 papers · 3.9k indexed · 1 hit paper · h-index 33
Topics
Lymphoma Diagnosis and Treatment (18 papers)Tea Polyphenols and Effects (8 papers)CNS Lymphoma Diagnosis and Treatment (7 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Jing Jin

130 papers receiving 3.8k citations

Hit Papers

Bitterness and astringency of tea leaves and products: Fo...2022202620232024202250100150

Peers

Jing Jin
Comparison fields: 5 of 147
  • Molecular Biology 2.1k
  • Pathology and Forensic Medicine 770
  • Oncology 627
  • Cellular and Molecular Neuroscience 407
  • Immunology 326
Replace Xing‐Zhen Chen with:
Xing‐Zhen Chen Canada
Anna‐Liisa Nieminen United States
Wang Wang China
Zui Pan United States
Agapios Sachinidis Germany
Amy‐Joan L. Ham United States
Clemens Steegborn Germany
Y. James Kang United States
John W. Elrod United States
Jing Jin relative to Xing‐Zhen Chen Canada Xing‐Zhen Chen's profile →
Citations per field
00.5×1.5×2.1×
Xing‐Zhen Chen · 1×
Citations per year

Countries citing papers authored by Jing Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Jin. A scholar is included among the top collaborators of Jing Jin 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 Jing Jin. Jing Jin 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 2
2 9
3 3
4 1
5 10
6 21
7 1
8 56
9 7
10 10
11 18
12 14
13 1
14 5
15 0
16 0
17 3
18 85
19 2
20 52

About Jing Jin

Jing Jin is a scholar working on Pathology and Forensic Medicine, Biochemistry and Clinical Biochemistry, having authored 135 papers that have together received 3.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Tea Polyphenols and Effects (8 papers) and CNS Lymphoma Diagnosis and Treatment (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (770 citations), Molecular Biology (2.1k citations) and Biochemistry (150 citations). Jing Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Tony Pawson, James R. Woodgett, G J Jones, M. Carter Cornwall, David R. Pepperberg, Robert D. Cardiff, John N. Hutchinson, Jian‐Hui Ye, William J. Muller and Pan Liu. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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