Hong Mu

1.0k citations
14 papers · 809 indexed · h-index 11
Topics
Reproductive tract infections research (2 papers)Cholesterol and Lipid Metabolism (2 papers)Adipokines, Inflammation, and Metabolic Diseases (2 papers)
Journals
SHILAP Revista de lepidopterologíaAmerican Journal Of PathologyCardiovascular Research
Partner nations
United StatesChina

In The Last Decade

Hong Mu

13 papers receiving 788 citations

Peers

Hong Mu
Comparison fields: 5 of 90
  • Epidemiology 203
  • Surgery 197
  • Molecular Biology 197
  • Immunology 159
  • Oncology 145
Replace Cynthia L. Tannahill with:
Cynthia L. Tannahill United States
Lakshmi Kannan United States
Jean Maingay United Kingdom
Francesca Minonzio Italy
L A Boxer United States
J Schölmerich Germany
Kenneth Hsu Australia
Yuwei Zhang China
Patrick Jaffray France
Chrisna Durandt South Africa
Hong Mu relative to Cynthia L. Tannahill United States Cynthia L. Tannahill's profile →
Citations per field
00.5×
Cynthia L. Tannahill · 1×
Citations per year

Countries citing papers authored by Hong Mu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Mu. A scholar is included among the top collaborators of Hong Mu 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 Mu. Hong Mu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 0
3
[Detection of circulating tumor cells in patients with hepatocellular carcinoma].
2
4 17
5 137
6 40
7 36
8 70
9 19
10 171
11 20
12 247
13
Modulation of cytokine profiles by the mycoplasma superantigen Mycoplasma arthritidis mitogen parallels susceptibility to arthritis induced by M
10
14 39

About Hong Mu

Hong Mu is a scholar working on Microbiology, Behavioral Neuroscience and Obstetrics and Gynecology, having authored 14 papers that have together received 809 indexed citations. Recurring topics across this work include Reproductive tract infections research (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Virology (40 citations), Emergency Medicine (75 citations) and Immunology (159 citations). Hong Mu has collaborated with scholars based in United States and China. Frequent co-authors include Qing Yao, Ryuji Ohashi, Qizhi Yao, Changyi Chen, Rikiya Ohashi, H.-M. Chai, Chao Chen, Haopeng Yang, Shihan Yan and Ping‐I Lin. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal Of Pathology and Cardiovascular 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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