Li Tang
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing 10
- Infectious Diseases top 5%
- Parvovirus B19 Infection Studies 8
- Epidemiology top 5%
- Influenza Virus Research Studies 8
- Respiratory viral infections research 7
- Cytomegalovirus and herpesvirus research 6
- Oncology top 10%
- Neutropenia and Cancer Infections 17
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- Central Venous Catheters and Hemodialysis 9
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- Statistical Methods and Bayesian Inference 8
- Co-authors
- Yilun SunRandall T. HaydenStanley PoundsJoshua WolfAngela M. CaliendoHana HakimKim AllisonRonald H. Dallas
- Journals
- Journal of Clinical Microbiology (12 papers)Statistical Methods in Medical Research (3 papers)Journal of the Pediatric Infectious Diseases Society (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Li Tang
88 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 129
- Clinical Biochemistry 151
- Infectious Diseases 366
- Epidemiology 560
- Oncology 356
- Applied Microbiology and Biotechnology 26
Countries citing papers authored by Li Tang
This map shows the geographic impact of Li Tang'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 Li Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Tang more than expected).
Fields of papers citing papers by Li Tang
This network shows the impact of papers produced by Li Tang. 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 Li Tang. The network helps show where Li Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 30 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 0 | |
| 15 | 2018 | 3 | |
| 16 | 2017 | 16 | |
| 17 | 2017 | 1 | |
| 18 | 2017 | 23 | |
| 19 | 2016 | 14 | |
| 20 | 2015 | 6 |
About Li Tang
Li Tang is a scholar working on Clinical Biochemistry, Infectious Diseases and Emergency Medical Services, having authored 98 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (17 papers), Bacterial Identification and Susceptibility Testing (10 papers), Central Venous Catheters and Hemodialysis (9 papers), Influenza Virus Research Studies (8 papers), Parvovirus B19 Infection Studies (8 papers), Statistical Methods and Bayesian Inference (8 papers), Respiratory viral infections research (7 papers) and Cytomegalovirus and herpesvirus research (6 papers). The work is most often cited by research in Clinical Biochemistry (151 citations), Infectious Diseases (366 citations) and Epidemiology (560 citations). Li Tang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Yilun Sun, Randall T. Hayden, Stanley Pounds, Joshua Wolf, Angela M. Caliendo, Hana Hakim, Kim Allison, Ronald H. Dallas, Sima Jeha and Ching‐Hon Pui. Their work appears in journals such as Journal of Clinical Microbiology, Statistical Methods in Medical Research, Journal of the Pediatric Infectious Diseases Society, Pediatric Blood & Cancer and PLoS ONE.
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.