E Tian

1.4k citations
27 papers · 1.1k · h-index 16

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
    • Invertebrate Immune Response Mechanisms
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Glycosylation and Glycoproteins Research 17
    • Ubiquitin and proteasome pathways 2
    • Galectins and Cancer Biology 5
    • Invertebrate Immune Response Mechanisms 4

E Tian

26 papers receiving 1.1k citations

Peers

E Tian
Comparison fields: 5 of 99
  • Immunology 327
  • Infectious Diseases 220
  • Molecular Biology 715
  • Organic Chemistry 228
  • Cell Biology 87
Replace Verónica Vallejo‐Ruiz with:
Verónica Vallejo‐Ruiz Mexico
Aleksandra Nita‐Lazar United States
Salil Ghosh United States
Holger A. Lindner Germany
Arturo Ferreira Chile
Yingming Wang China
Nobuo Maita Japan
Scott Winston United States
Shoudeng Chen China
Petra Verdino Austria
E Tian relative to Verónica Vallejo‐Ruiz Mexico Verónica Vallejo‐Ruiz's profile →
Citations per field
00.5×1.5×1.9×
Verónica Vallejo‐Ruiz · 1×
Citations per year

Countries citing papers authored by E Tian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020218
2 2008165
3 2021103
4 200664
5 200861
6 200458
7 201255
8 201153
9 200552
10 200750
11 201943
12 201537
13 200932
14 201226
15 202018
16 202015
17 202313
18 201910
19 20227
20 20245

About E Tian

E Tian is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Ecology and Epidemiology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (17 papers), Galectins and Cancer Biology (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Invertebrate Immune Response Mechanisms (4 papers), Bone and Dental Protein Studies (3 papers), Ubiquitin and proteasome pathways (2 papers), Oral and Maxillofacial Pathology (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Immunology (327 citations), Infectious Diseases (220 citations), Molecular Biology (715 citations), Organic Chemistry (228 citations) and Cell Biology (87 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, Wei Cheng, Shu Zhang, Bin Chen, Ruiying Han, Toufic El Arnaout, 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, Signal Transduction and Targeted Therapy and Molecular Metabolism.

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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