Ting Li

3.8k total citations
172 papers, 2.6k citations indexed

About

Ting Li is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Ting Li has authored 172 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Oncology, 65 papers in Pathology and Forensic Medicine and 36 papers in Molecular Biology. Recurrent topics in Ting Li's work include Lymphoma Diagnosis and Treatment (20 papers), Multiple Sclerosis Research Studies (13 papers) and Immune Cell Function and Interaction (12 papers). Ting Li is often cited by papers focused on Lymphoma Diagnosis and Treatment (20 papers), Multiple Sclerosis Research Studies (13 papers) and Immune Cell Function and Interaction (12 papers). Ting Li collaborates with scholars based in China, United States and Japan. Ting Li's co-authors include Feng Jiang, Yuping Mei, Zhenqiu Liu, Sanford A. Stass, Yun Su, Bingjie Leng, Qixin Leng, Lin Nong, Pei Lin and Shuang Zhang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ting Li

157 papers receiving 2.5k citations

Peers

Ting Li
Comparison fields: 5 of 125
  • Oncology 972
  • Molecular Biology 767
  • Pathology and Forensic Medicine 696
  • Immunology 416
  • Cancer Research 354
Replace Saeed Aslani with:
Saeed Aslani Iran
Bing Xu China
Nikolaos Kavantzas Greece
Martin Highley United Kingdom
Tilman T. Rau Germany
Satoshi Shimizu Japan
Masaru Harada Japan
Maciej Szmitkowski Poland
Maria Tzardi Greece
Takato Ueno Japan
Saeed Aslani Iran View profile →
Citations per field, relative to Ting Li
Ting Li · 1×
Citations per year, relative to Ting Li
Ting Li · 1×

Countries citing papers authored by Ting Li

Since Specialization
Citations

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

Fields of papers citing papers by Ting Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Li. A scholar is included among the top collaborators of Ting Li 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 Ting Li. Ting Li 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 1
2 10
3 18
4 0
5 69
6 3
7 2
8 6
9 3
10 54
11 9
12 2
13 28
14
Effect evaluation of the application of ”cloud ward” management mode with integration of medical-care in gynecological patients with day surgery
1
15 15
16 32
17 13
18 6
19 4
20
[Comparative study of heterogeneity of extranodal and nodal diffuse large B cell lymphoma].
1

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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