W M Huang

2.3k total citations
33 papers, 1.9k citations indexed

About

W M Huang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, W M Huang has authored 33 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Ecology. Recurrent topics in W M Huang's work include Bacteriophages and microbial interactions (6 papers), Cancer therapeutics and mechanisms (6 papers) and DNA and Nucleic Acid Chemistry (6 papers). W M Huang is often cited by papers focused on Bacteriophages and microbial interactions (6 papers), Cancer therapeutics and mechanisms (6 papers) and DNA and Nucleic Acid Chemistry (6 papers). W M Huang collaborates with scholars based in United States, China and United Kingdom. W M Huang's co-authors include Mathew E. Diamond, Ford F. Ebner, You Wang, Diane E. Taylor, C A Ison, Sandra G. Morrison, Robert J. Belland, Amalio Telenti, W. Philipp and S.T. Cole and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

W M Huang

33 papers receiving 1.8k citations

Peers

W M Huang
Comparison fields: 5 of 108
  • Molecular Biology 673
  • Infectious Diseases 548
  • Epidemiology 414
  • Molecular Medicine 337
  • Cellular and Molecular Neuroscience 309
Replace Gábor Nagy with:
Gábor Nagy Germany
Fadia B. Dib-Hajj United States
Neal M. Alto United States
Michael W. Wood United States
Takahide Taniguchi Japan
Brian L. Mark Canada
J Hess Germany
R.C. Peters Netherlands
Zaining Wu United States
William J. Wolfgang United States
Gábor Nagy Germany View profile →
Citations per field, relative to W M Huang
W M Huang · 1×
Citations per year, relative to W M Huang
W M Huang · 1×

Countries citing papers authored by W M Huang

Since Specialization
Citations

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

Fields of papers citing papers by W M Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W M 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 W M Huang. The network helps show where W M Huang may publish in the future.

Co-authorship network of co-authors of W M Huang

This figure shows the co-authorship network connecting the top 25 collaborators of W M Huang. A scholar is included among the top collaborators of W M Huang 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 W M Huang. W M Huang 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 21
2 1
3
Mitotically active cellular fibroma of the ovary: a case report and a review of the literature.
9
4
Raver2: A Novel Regulator Of sFlt1 Production
1
5 48
6 1
7 9
8 15
9
The role of genomics in approaching the study of Borrelia DNA replication.
4
10 21
11 78
12 231
13 65
14 51
15
IMMUNOHISTOCHEMICAL LOCALIZATION OF 5-HT IN AMPHIOXUS
5
16 45
17 28
18 11
19 5
20 36

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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