Fan Lin

5.8k total citations
117 papers, 3.9k citations indexed

About

Fan Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Fan Lin has authored 117 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 37 papers in Pulmonary and Respiratory Medicine and 32 papers in Oncology. Recurrent topics in Fan Lin's work include Renal and related cancers (12 papers), Renal cell carcinoma treatment (10 papers) and Cancer Genomics and Diagnostics (8 papers). Fan Lin is often cited by papers focused on Renal and related cancers (12 papers), Renal cell carcinoma treatment (10 papers) and Cancer Genomics and Diagnostics (8 papers). Fan Lin collaborates with scholars based in United States, China and United Kingdom. Fan Lin's co-authors include M. Daniel Lane, Joseph R. Nevins, Jianhui Shi, Haiyan Liu, Myra L. Wilkerson, Ximing J. Yang, Gregg Staerkel, Jeffrey W. Prichard, Bin Tean Teh and Supriya G. Mohile and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Fan Lin

113 papers receiving 3.8k citations

Peers

Fan Lin
Comparison fields: 5 of 148
  • Molecular Biology 1.8k
  • Oncology 1.1k
  • Pulmonary and Respiratory Medicine 963
  • Cancer Research 580
  • Surgery 481
Replace Filip De Vos with:
Filip De Vos Belgium
Lu Yang China
Ralf Schubert Germany
Mika Watanabe Japan
Ryohei Sasaki Japan
Yulin Liu China
Ying Jing China
Lin Chen China
Alvin H. Schmaier United States
D. Schrijvers Belgium
Filip De Vos Belgium View profile →
Citations per field, relative to Fan Lin
Fan Lin · 1×
Citations per year, relative to Fan Lin
Fan Lin · 1×

Countries citing papers authored by Fan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Fan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Lin. A scholar is included among the top collaborators of Fan Lin 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 Fan Lin. Fan Lin 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 4
2 0
3 0
4 0
5 2
6 2
7 9
8 4
9 8
10 24
11 29
12 9
13 5
14 34
15 35
16 157
17 52
18 72
19
Monocyte-mediated acute renal rejection after combined treatment with preoperative Campath-1H (alemtuzumab) and postoperative immunosuppression.
8
20 94

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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