Henry C. Wu

7.4k citations
137 papers · 5.4k indexed · h-index 38

Henry C. Wu

132 papers receiving 5.0k citations

Peers

Henry C. Wu
Comparison fields: 5 of 141
  • Endocrinology 390
  • Molecular Medicine 369
  • Genetics 1.7k
  • Microbiology 330
  • Biotechnology 446
Replace Jane Thomas‐Oates with:
Jane Thomas‐Oates United Kingdom
M. Mandel United States
Noreen E. Murray United Kingdom
J. Weckesser Germany
Roland Schmid Germany
Tsuyoshi Uehara Japan
Gavin H. Thomas United Kingdom
Wilfried Wackernagel Germany
Kevin D. Young United States
Dörte Becher Germany
Henry C. Wu relative to Jane Thomas‐Oates United Kingdom Jane Thomas‐Oates's profile →
Citations per field
00.5×1.5×2.3×
Jane Thomas‐Oates · 1×
Citations per year

Countries citing papers authored by Henry C. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Henry C. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henry C. Wu. 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 Henry C. Wu. The network helps show where Henry C. Wu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Henry C. Wu, 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 Henry C. Wu Line = papers co-authored together Henry C. Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20241
5 20233
6 201929
7 201846
8 20158
9
The black disease of reef-building corals at green island, Taiwan : Outbreak of a cyanobacteriosponge, Terpios hoshinota (suberitidae; hadromerida)
200739
10 19981
11 199522
12 199539
13 19946
14 199349
15 199212
16 1991139
17 199111
18 1990472
19 198114
20 198114

About Henry C. Wu

Henry C. Wu is a scholar working on Biotechnology, Genetics and Molecular Biology, having authored 137 papers that have together received 5.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (41 papers), Bacterial Genetics and Biotechnology (40 papers), Glycosylation and Glycoproteins Research (21 papers), Toxin Mechanisms and Immunotoxins (21 papers), Protein Structure and Dynamics (16 papers), Lipid Membrane Structure and Behavior (12 papers), Enzyme Structure and Function (11 papers) and Transgenic Plants and Applications (11 papers). The work is most often cited by research in Endocrinology (390 citations), Molecular Medicine (369 citations) and Genetics (1.7k citations). Henry C. Wu has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Shigeru Hayashi, Krishnan Sankaran, Masao Tokunaga, Mary Osborn, Jing‐Jer Lin, Elias Meezan, Paul H. Black, Phillips W. Robbins, Sita D. Gupta and Motoyuki Sugai. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and Experimental Cell 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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