Tie Chen
Impact in
- Microbiology top 1%
- Bacterial Infections and Vaccines
- Reproductive tract infections research
- Endocrinology top 5%
Papers in
- Microbiology 12
- Bacterial Infections and Vaccines 7
- Reproductive tract infections research 5
- Co-authors
- E C Gotschlich (2 shared papers)Fritz Grunert (3 shared papers)Andrew Medina‐Marino (1 shared paper)John D. Klena (10 shared papers)Inês Chen (4 shared papers)Silvia Bolland (3 shared papers)Silvia Bulgheresi (5 shared papers)Johnny J. He (6 shared papers)
- Journals
- Infection and Immunity (2 papers)Journal of Leukocyte Biology (2 papers)Journal of Cancer Research and Clinical Oncology (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Tie Chen
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Microbiology 394
- Endocrinology 139
- Immunology and Allergy 109
- Immunology 383
- Virology 61
Countries citing papers authored by Tie Chen
This map shows the geographic impact of Tie Chen'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 Tie Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tie Chen more than expected).
Fields of papers citing papers by Tie Chen
This network shows the impact of papers produced by Tie Chen. 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 Tie Chen. The network helps show where Tie Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Tie Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 175 | |
| 2 | 1996 | 154 | |
| 3 | 2011 | 153 | |
| 4 | 2006 | 93 | |
| 5 | 2013 | 92 | |
| 6 | 2005 | 77 | |
| 7 | 2006 | 70 | |
| 8 | 2001 | 61 | |
| 9 | 2008 | 59 | |
| 10 | 2005 | 54 | |
| 11 | 2005 | 52 | |
| 12 | 2008 | 51 | |
| 13 | 2001 | 50 | |
| 14 | 2006 | 44 | |
| 15 | 2015 | 38 | |
| 16 | 2015 | 30 | |
| 17 | 2014 | 26 | |
| 18 | 2020 | 21 | |
| 19 | 2008 | 20 | |
| 20 | 2012 | 19 |
About Tie Chen
Tie Chen is a scholar working on Molecular Biology, Microbiology, Immunology, Oncology and Genetics, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (7 papers), Yersinia bacterium, plague, ectoparasites research (5 papers), Reproductive tract infections research (5 papers), Cancer Cells and Metastasis (4 papers), Immunotherapy and Immune Responses (4 papers), Peptidase Inhibition and Analysis (4 papers), Immune Response and Inflammation (4 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Microbiology (394 citations), Endocrinology (139 citations), Immunology and Allergy (109 citations), Immunology (383 citations) and Virology (61 citations). Tie Chen has collaborated with scholars based in China, United States and Austria. Frequent co-authors include E C Gotschlich, Fritz Grunert, Andrew Medina‐Marino, John D. Klena, Inês Chen, Silvia Bolland, Silvia Bulgheresi, Johnny J. He, Xianming Mo and Olivier Schwartz. Their work appears in journals such as Infection and Immunity, Journal of Leukocyte Biology, Journal of Cancer Research and Clinical Oncology, Frontiers in Cellular and Infection Microbiology and The Journal of Immunology.
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.