Ming‐Bo Huang

1.1k citations
28 papers · 926 · h-index 17

Impact in

Papers in

    • Immunotherapy and Immune Responses 9
    • interferon and immune responses 5
    • Complement system in diseases 3
    • Extracellular vesicles in disease 8

Ming‐Bo Huang

28 papers receiving 916 citations

Peers

Ming‐Bo Huang
Comparison fields: 5 of 85
  • Virology 405
  • Emergency Medicine 127
  • Immunology 270
  • Infectious Diseases 226
  • Cancer Research 103
Replace Jean-Philippe Goulet with:
Jean-Philippe Goulet Canada
Eleonora Olivetta Italy
Earl A. Gage United States
María Rosa López‐Huertas Spain
Daniel Libutti United States
Annie Gosselin Canada
Joshua J. Anzinger United States
Arevik Mosoian United States
Sylvain Gimmig Canada
Elena Mateos Spain
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Citations per field
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Citations per year

Countries citing papers authored by Ming‐Bo Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Bo Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Bo Huang. 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 Ming‐Bo Huang. The network helps show where Ming‐Bo Huang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming‐Bo Huang, 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 Ming‐Bo Huang Line = papers co-authored together Ming‐Bo Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200493
2
HIV-1 Nef protein is secreted into vesicles that can fuse with target cells and virions.
200893
3 201079
4 201571
5 201568
6 201162
7 199956
8 200051
9 200147
10 201742
11 202140
12 200440
13 200029
14 201922
15 200022
16 200118
17 201916
18 200515
19 201314
20 201912

About Ming‐Bo Huang

Ming‐Bo Huang is a scholar working on Immunology, Molecular Biology, Virology, Oncology and Cancer Research, having authored 28 papers that have together received 926 indexed citations. Recurring topics across this work include HIV Research and Treatment (14 papers), Immunotherapy and Immune Responses (9 papers), Extracellular vesicles in disease (8 papers), interferon and immune responses (5 papers), Chemokine receptors and signaling (4 papers), MicroRNA in disease regulation (3 papers), Complement system in diseases (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Virology (405 citations), Emergency Medicine (127 citations), Immunology (270 citations), Infectious Diseases (226 citations) and Cancer Research (103 citations). Ming‐Bo Huang has collaborated with scholars based in United States, China and Malaysia. Frequent co-authors include Vincent C. Bond, Michael D. Powell, Mahfuz Khan, Minerva T. Garcia-Barrio, Syed Atif Ali, Melissa Hunter, William Roth, James W. Lillard, Bruce Shiramizu and Mary Saltarelli. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, Oncotarget, Journal of Virology, AIDS Research and Human Retroviruses and Journal of NeuroVirology.

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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