Jing Jin

4.1k citations
116 papers · 2.6k indexed · h-index 26
Topics
Cancer-related molecular mechanisms research (18 papers)RNA modifications and cancer (17 papers)MicroRNA in disease regulation (14 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Jing Jin

107 papers receiving 2.5k citations

Peers

Jing Jin
Comparison fields: 5 of 138
  • Molecular Biology 1.8k
  • Cancer Research 359
  • Oncology 266
  • Genetics 259
  • Plant Science 244
Replace Wenwen Wang with:
Wenwen Wang China
Asha Acharya United States
Lijuan Zhang China
Xiaoxiao Wang China
Seung Jun Kim South Korea
Stefania Meschini Italy
Anup K. Singh India
Maja Tomičić Germany
Lin Yang China
Hyungjin Kim United States
Jing Jin relative to Wenwen Wang China Wenwen Wang's profile →
Citations per field
00.5×1.6×
Wenwen Wang · 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 0
2 5
3 3
4 20
5 22
6 26
7 11
8
Identification of High-Frequency Methylation Sites in RNF180 Promoter Region Affecting Expression and Their Relationship with Prognosis of Gastric Cancer
1
9 1
10 16
11 28
12
Construction of RNA interference vector of chicken (Gallus domesticus) FGF8 gene and its effect on the formation of PGCs.
1
13 73
14 59
15
[Annexin A1 increases the sensitivity of K562 cell to imatinib].
1
16 1
17 243
18 97
19 1
20
A gene encoding Era-binding protein exists in E. coli genome
2

About Jing Jin

Jing Jin is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 116 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (18 papers), RNA modifications and cancer (17 papers) and MicroRNA in disease regulation (14 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cancer Research (359 citations) and Immunology (215 citations). Jing Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Tony Pawson, C. Chen, Timothy J. Nott, James R. Woodgett, Robert D. Cardiff, John N. Hutchinson, William J. Muller, Elena Silva Casey, Tenley C. Archer and Xiao‐bo Zhong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

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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