Tiandi Wei
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
- Immunology 12
- Immune Response and Inflammation 11
-
- Microbial Metabolic Engineering and Bioproduction 5
- Photosynthetic Processes and Mechanisms 4
- Machine Learning in Bioinformatics 3
- Co-authors
- Robert W. Stark (6 shared papers)Wolfgang M. Heckl (5 shared papers)Shaila C. Rössle (5 shared papers)Ferdinand Jamitzky (5 shared papers)Lichuan Gu (11 shared papers)Sujuan Xu (10 shared papers)Deyu Zhu (11 shared papers)Jing Gong (5 shared papers)
In The Last Decade
Tiandi Wei
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Immunology 281
- Microbiology 70
- Biotechnology 89
- Endocrinology 48
- Aquatic Science 59
Countries citing papers authored by Tiandi Wei
This map shows the geographic impact of Tiandi Wei'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 Tiandi Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiandi Wei more than expected).
Fields of papers citing papers by Tiandi Wei
This network shows the impact of papers produced by Tiandi Wei. 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 Tiandi Wei. The network helps show where Tiandi Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiandi Wei, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 125 | |
| 2 | 2011 | 75 | |
| 3 | 2021 | 68 | |
| 4 | 2014 | 67 | |
| 5 | 2009 | 62 | |
| 6 | 2009 | 60 | |
| 7 | 2014 | 54 | |
| 8 | 2009 | 51 | |
| 9 | 2015 | 32 | |
| 10 | 2008 | 32 | |
| 11 | 2011 | 32 | |
| 12 | 2012 | 31 | |
| 13 | 2010 | 29 | |
| 14 | 2014 | 26 | |
| 15 | 2020 | 25 | |
| 16 | 2019 | 23 | |
| 17 | 2016 | 22 | |
| 18 | 2020 | 21 | |
| 19 | 2012 | 20 | |
| 20 | 2017 | 19 |
About Tiandi Wei
Tiandi Wei is a scholar working on Immunology, Molecular Biology, Cancer Research, Microbiology and Biochemistry, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Response and Inflammation (11 papers), NF-κB Signaling Pathways (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Bacterial Genetics and Biotechnology (3 papers), Influenza Virus Research Studies (3 papers), Biofuel production and bioconversion (3 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Immunology (281 citations), Microbiology (70 citations), Biotechnology (89 citations), Endocrinology (48 citations) and Aquatic Science (59 citations). Tiandi Wei has collaborated with scholars based in China, Germany and France. Frequent co-authors include Robert W. Stark, Wolfgang M. Heckl, Shaila C. Rössle, Ferdinand Jamitzky, Lichuan Gu, Sujuan Xu, Deyu Zhu, Jing Gong, Jing Gong and Mei Wang. Their work appears in journals such as Molecular Microbiology, Journal of Biological Chemistry, Journal of Molecular Modeling, Gene and Journal of Structural Biology.
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.