Ji Zhao

1.9k total citations
21 papers, 1.6k citations indexed

About

Ji Zhao is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Ji Zhao has authored 21 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Immunology and 5 papers in Physiology. Recurrent topics in Ji Zhao's work include Phagocytosis and Immune Regulation (6 papers), Erythrocyte Function and Pathophysiology (5 papers) and Lipid Membrane Structure and Behavior (5 papers). Ji Zhao is often cited by papers focused on Phagocytosis and Immune Regulation (6 papers), Erythrocyte Function and Pathophysiology (5 papers) and Lipid Membrane Structure and Behavior (5 papers). Ji Zhao collaborates with scholars based in United States, China and Australia. Ji Zhao's co-authors include Peter J. Sims, Therese Wiedmer, Quansheng Zhou, Robert A. Luhm, James G. Stout, Rodney K. Tweten, Kara S. Giddings, Meera Nanjundan, Robert H. Silverman and Aimin Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Ji Zhao

21 papers receiving 1.5k citations

Peers

Ji Zhao
Comparison fields: 5 of 87
  • Molecular Biology 926
  • Immunology 591
  • Physiology 299
  • Cell Biology 212
  • Hematology 163
Replace Gerald L. Waneck with:
Gerald L. Waneck United States
Michael A. Davitz United States
F S Cole United States
Y Katsura Japan
Gabriel Goldberger United States
Tanya L. Crockford United Kingdom
Susan Sather United States
E I Walter United States
Sarkis H. Ohanian United States
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Gerald L. Waneck United States View profile →
Citations per field, relative to Ji Zhao
Ji Zhao · 1×
Citations per year, relative to Ji Zhao
Ji Zhao · 1×

Countries citing papers authored by Ji Zhao

Since Specialization
Citations

This map shows the geographic impact of Ji Zhao'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 Ji Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Zhao more than expected).

Fields of papers citing papers by Ji Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji Zhao. 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 Ji Zhao. The network helps show where Ji Zhao may publish in the future.

Co-authorship network of co-authors of Ji Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Zhao. A scholar is included among the top collaborators of Ji Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ji Zhao. Ji Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 101
3 183
4 96
5 38
6 66
7 100
8
Suppression of ovarian carcinoma cell growth in vivo by the interferon-inducible plasma membrane protein, phospholipid scramblase 1.
54
9 178
10 56
11 67
12 147
13 29
14 41
15 4
16 335
17 38
18 8
19 12
20 9

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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