E Tian
Impact in
- Immunology top 10%
- Galectins and Cancer Biology
- Invertebrate Immune Response Mechanisms
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Glycosylation and Glycoproteins Research 16
- Ubiquitin and proteasome pathways 3
- Immunology 10
- Galectins and Cancer Biology 5
- Invertebrate Immune Response Mechanisms 4
- Co-authors
- Kelly G. Ten Hagen (22 shared papers)Lawrence A. Tabak (9 shared papers)Bin Chen (1 shared paper)Shu Zhang (1 shared paper)Wei Cheng (1 shared paper)Toufic El Arnaout (1 shared paper)Ruiying Han (1 shared paper)Bin He (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Glycobiology (4 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Communications (1 paper)Hereditas (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
E Tian
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Immunology 330
- Infectious Diseases 236
- Molecular Biology 680
- Organic Chemistry 208
- Cell Biology 89
Countries citing papers authored by E Tian
This map shows the geographic impact of E Tian'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 E Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Tian more than expected).
Fields of papers citing papers by E Tian
This network shows the impact of papers produced by E Tian. 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 E Tian. The network helps show where E Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside E Tian, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 214 | |
| 2 | 2008 | 156 | |
| 3 | 2021 | 102 | |
| 4 | 2008 | 60 | |
| 5 | 2006 | 54 | |
| 6 | 2004 | 52 | |
| 7 | 2012 | 49 | |
| 8 | 2007 | 49 | |
| 9 | 2005 | 47 | |
| 10 | 2011 | 43 | |
| 11 | 2019 | 42 | |
| 12 | 2015 | 36 | |
| 13 | 2009 | 29 | |
| 14 | 2012 | 25 | |
| 15 | 2020 | 17 | |
| 16 | 2023 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2019 | 10 | |
| 19 | 2022 | 7 | |
| 20 | 2024 | 4 |
About E Tian
E Tian is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Ecology and Epidemiology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (16 papers), Galectins and Cancer Biology (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Bone and Dental Protein Studies (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Ubiquitin and proteasome pathways (3 papers), Oral and gingival health research (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Immunology (330 citations), Infectious Diseases (236 citations), Molecular Biology (680 citations), Organic Chemistry (208 citations) and Cell Biology (89 citations). E Tian has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Kelly G. Ten Hagen, Lawrence A. Tabak, Bin Chen, Shu Zhang, Wei Cheng, Toufic El Arnaout, Ruiying Han, Bin He, Ying Zhang and Matthew P. Hoffman. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, Proceedings of the National Academy of Sciences, Nature Communications and Hereditas.
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.