Hong Cao

7.4k total citations
180 papers, 5.8k citations indexed

About

Hong Cao is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Hong Cao has authored 180 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 33 papers in Oncology and 32 papers in Cell Biology. Recurrent topics in Hong Cao's work include Cellular transport and secretion (25 papers), Erythrocyte Function and Pathophysiology (10 papers) and Pancreatic and Hepatic Oncology Research (10 papers). Hong Cao is often cited by papers focused on Cellular transport and secretion (25 papers), Erythrocyte Function and Pathophysiology (10 papers) and Pancreatic and Hepatic Oncology Research (10 papers). Hong Cao collaborates with scholars based in China, United States and France. Hong Cao's 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 and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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 Ofer Reizes with:
Ofer Reizes United States
Otmar Huber Germany
Kate J. Heesom United Kingdom
Jianmin Zhang China
Sreenivasan Ponnambalam United Kingdom
Volker Herzog Germany
Lorenza González‐Mariscal Mexico
Michelle M. Hill Australia
Masamitsu Ichihashi Japan
James F. Collawn United States
Ofer Reizes United States View profile →
Citations per field, relative to Hong Cao
Hong Cao · 1×
Citations per year, relative to Hong Cao
Hong Cao · 1×

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
# Work Indexed 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

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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