TT Li

2.5k citations
83 papers · 1.4k · h-index 19

Impact in

Papers in

    • COVID-19 Clinical Research Studies 7
    • SARS-CoV-2 and COVID-19 Research 3
    • Antifungal resistance and susceptibility 3
    • Organ Transplantation Techniques and Outcomes 3

TT Li

71 papers receiving 1.4k citations

Peers

TT Li
Comparison fields: 5 of 124
  • Psychiatry and Mental health 168
  • Neurology 124
  • Infectious Diseases 136
  • Critical Care and Intensive Care Medicine 33
  • Pathology and Forensic Medicine 114
Replace Yi‐Hui Wu with:
Yi‐Hui Wu Taiwan
Chunmei Liu China
Kuan‐Fu Liao Taiwan
Andrés Navarro‐Ruiz Spain
William A. Parker United Kingdom
Karolina M. Stępień United Kingdom
Ping Liu China
Roberta Rolla Italy
Leslie W. Abad United States
Shifra Sela Israel
TT Li relative to Yi‐Hui Wu Taiwan Yi‐Hui Wu's profile →
Citations per field
00.5×1.5×2.0×
Yi‐Hui Wu · 1×
Citations per year

Countries citing papers authored by TT Li

Since Specialization
Citations

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

Fields of papers citing papers by TT Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside TT Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with TT Li Line = papers co-authored together TT Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020144
2 2016132
3 1997110
4 2020105
5 201979
6 201769
7 201754
8 201548
9 202244
10 202035
11 201532
12 201231
13 202129
14 202027
15 202125
16 201723
17 202021
18 202120
19 201919
20 201818

About TT Li

TT Li is a scholar working on Infectious Diseases, Surgery, Critical Care and Intensive Care Medicine, Neurology and Psychiatry and Mental health, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (6 papers), Epilepsy research and treatment (5 papers), Intensive Care Unit Cognitive Disorders (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Antifungal resistance and susceptibility (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Psychiatry and Mental health (168 citations), Neurology (124 citations), Infectious Diseases (136 citations), Critical Care and Intensive Care Medicine (33 citations) and Pathology and Forensic Medicine (114 citations). TT Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaokun Li, Jin‐San Zhang, Fanghua Gong, Keyang Chen, Marc De Backer, Melissa A. Brock, Kiyohito Terada, Manuel Toledo, Felix Rosenow and Konrad J. Werhahn. Their work appears in journals such as Frontiers in Immunology, Journal of Chinese Integrative Medicine, International Immunopharmacology, BMJ Open and Neurology.

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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