Lingtao Jin

2.2k total citations
25 papers, 1.2k citations indexed

About

Lingtao Jin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Lingtao Jin has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Lingtao Jin's work include Cancer, Hypoxia, and Metabolism (6 papers), Melanoma and MAPK Pathways (3 papers) and RNA modifications and cancer (3 papers). Lingtao Jin is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Melanoma and MAPK Pathways (3 papers) and RNA modifications and cancer (3 papers). Lingtao Jin collaborates with scholars based in United States, China and France. Lingtao Jin's co-authors include Sumin Kang, Gina N. Alesi, Kelly R. Magliocca, Fadlo R. Khuri, Jaemoo Chun, Yibin Kang, Dong M. Shin, Chaoyun Pan, Chunlian Pan and Taofeek K. Owonikoko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Lingtao Jin

24 papers receiving 1.2k citations

Peers

Lingtao Jin
Comparison fields: 5 of 87
  • Molecular Biology 831
  • Cancer Research 550
  • Oncology 222
  • Pulmonary and Respiratory Medicine 163
  • Immunology 105
Replace Lynn Kirkpatrick with:
Lynn Kirkpatrick United States
Gina N. Alesi United States
Zachary J. Reitman United States
Gabriel Leprivier Germany
Georgia Konstantinidou Switzerland
Ibtissam Marchiq France
Dong-liang Chen China
Dana Napier United States
Yun‐Xin Lu China
Loredana Moro Italy
Lynn Kirkpatrick United States View profile →
Citations per field, relative to Lingtao Jin
Lingtao Jin · 1×
Citations per year, relative to Lingtao Jin
Lingtao Jin · 1×

Countries citing papers authored by Lingtao Jin

Since Specialization
Citations

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

Fields of papers citing papers by Lingtao Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingtao Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Lingtao Jin. A scholar is included among the top collaborators of Lingtao 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 Lingtao Jin. Lingtao 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
# Work Indexed citations
1 13
2 31
3 31
4 14
5 9
6 19
7 9
8 22
9 10
10 5
11 6
12 24
13 32
14 31
15 0
16 230
17 201
18 27
19 44
20 24

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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