Hong Cao

7.4k citations
180 papers · 5.8k indexed · h-index 39
Topics
Cellular transport and secretion (25 papers)Erythrocyte Function and Pathophysiology (10 papers)Pancreatic and Hepatic Oncology Research (10 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Hong Cao

169 papers receiving 5.7k citations

Peers

Hong Cao
Comparison fields: 5 of 143
  • Molecular Biology 2.9k
  • Cell Biology 2.4k
  • Physiology 681
  • Immunology 576
  • Oncology 561
Replace Andrew F. G. Quest with:
Andrew F. G. Quest Chile
Kate J. Heesom United Kingdom
Michael J. Caplan United States
Troy Stevens United States
Marjan Guček United States
Sreenivasan Ponnambalam United Kingdom
James F. Collawn United States
Jörn Dengjel Germany
Zhixiang Wang Canada
Volker Herzog Germany
Hong Cao relative to Andrew F. G. Quest Chile Andrew F. G. Quest's profile →
Citations per field
00.5×1.5×
Andrew F. G. Quest · 1×
Citations per year

Countries citing papers authored by Hong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Hong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Cao. A scholar is included among the top collaborators of Hong Cao 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 Hong Cao. Hong Cao 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
#WorkIndexed citations
1 18
2 6
3 2
4 20
5 0
6 14
7 9
8 2
9 7
10 7
11 1
12 16
13 34
14 29
15 4
16 20
17
Expression of GLP-1 receptor mRNA in intestine and pancreas of diabetic rats
1
18 73
19
[Studies on phenolic compounds from Polygonum aviculane].
3
20 115

About Hong Cao

Hong Cao is a scholar working on Cell Biology, Cancer Research and Oncology, having authored 180 papers that have together received 5.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (25 papers), Erythrocyte Function and Pathophysiology (10 papers) and Pancreatic and Hepatic Oncology Research (10 papers). The work is most often cited by research in Cell Biology (2.4k citations), Immunology and Allergy (403 citations) and Molecular Biology (2.9k citations). Hong Cao has collaborated with scholars based in China, United States and France. Frequent co-authors include Mark A. McNiven, Eugene W. Krueger, James D. Orth, Fabiana Garcı́a, John R. Henley, Jing Chen, Kelly R. Pitts, Yisang Yoon, Shaun G. Weller and Tai W. Wong. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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