Henry C. Wu

7.4k total citations
137 papers, 5.4k citations indexed

About

Henry C. Wu is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Henry C. Wu has authored 137 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 42 papers in Genetics and 22 papers in Immunology. Recurrent topics in Henry C. Wu's work include RNA and protein synthesis mechanisms (41 papers), Bacterial Genetics and Biotechnology (40 papers) and Glycosylation and Glycoproteins Research (21 papers). Henry C. Wu is often cited by papers focused on RNA and protein synthesis mechanisms (41 papers), Bacterial Genetics and Biotechnology (40 papers) and Glycosylation and Glycoproteins Research (21 papers). Henry C. Wu collaborates with scholars based in United States, Germany and France. Henry C. Wu's co-authors include Shigeru Hayashi, Krishnan Sankaran, Masao Tokunaga, Mary Osborn, Jing‐Jer Lin, Phillips W. Robbins, Elias Meezan, Paul H. Black, Sita D. Gupta and H. Kanazawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Henry C. Wu

132 papers receiving 5.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Henry C. Wu United States 38 3.2k 1.7k 810 704 446 137 5.4k
Jane Thomas‐Oates United Kingdom 57 3.9k 1.2× 763 0.4× 867 1.1× 612 0.9× 364 0.8× 193 9.7k
Vivek Anantharaman United States 44 4.9k 1.5× 1.4k 0.8× 1.1k 1.4× 522 0.7× 132 0.3× 75 7.2k
A Ryter France 33 2.8k 0.9× 1.9k 1.1× 1.4k 1.7× 249 0.4× 413 0.9× 99 5.4k
Kevin D. Young United States 45 3.3k 1.0× 2.4k 1.4× 1.6k 2.0× 242 0.3× 186 0.4× 89 5.8k
M. Mandel United States 36 5.9k 1.8× 1.5k 0.9× 2.6k 3.3× 394 0.6× 508 1.1× 140 10.2k
Noreen E. Murray United Kingdom 49 7.2k 2.2× 3.7k 2.1× 2.4k 3.0× 273 0.4× 315 0.7× 97 9.4k
Klaus Hantke Germany 59 4.6k 1.4× 4.1k 2.4× 1.3k 1.6× 497 0.7× 251 0.6× 108 10.2k
Roland Schmid Germany 38 3.3k 1.0× 1.4k 0.8× 833 1.0× 119 0.2× 388 0.9× 81 4.8k
Akhilesh K. Tyagi India 73 9.2k 2.8× 1.9k 1.1× 452 0.6× 392 0.6× 632 1.4× 298 17.3k
Gavin H. Thomas United Kingdom 38 2.8k 0.9× 1.1k 0.6× 773 1.0× 220 0.3× 116 0.3× 134 4.9k

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 of co-authors of Henry C. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Henry C. Wu. A scholar is included among the top collaborators of Henry C. Wu 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 Henry C. Wu. Henry C. Wu 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
1.
Li, Jiahao, et al.. (2025). Enhanced visual SLAM for surgical robots with cylindrical scene recognition in digestive endoscopic procedures. Measurement. 250. 117054–117054. 1 indexed citations
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Linsley, Braddock K., et al.. (2019). Coral carbon isotope sensitivity to growth rate and water depth with paleo-sea level implications. Nature Communications. 10(1). 2056–2056. 29 indexed citations
5.
Wu, Henry C., Delphine Dissard, Éric Douville, et al.. (2018). Surface ocean pH variations since 1689 CE and recent ocean acidification in the tropical South Pacific. Nature Communications. 9(1). 2543–2543. 46 indexed citations
6.
Linsley, Braddock K., Henry C. Wu, Émilie Pauline Dassié, & Daniel P. Schrag. (2015). Decadal changes in South Pacific sea surface temperatures and the relationship to the Pacific decadal oscillation and upper ocean heat content. Geophysical Research Letters. 42(7). 2358–2366. 36 indexed citations
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Wu, Henry C., Mélanie Moreau, Braddock K. Linsley, Daniel P. Schrag, & Thierry Corrège. (2014). Investigation of sea surface temperature changes from replicated coral Sr/Ca variations in the eastern equatorial Pacific (Clipperton Atoll) since 1874. Palaeogeography Palaeoclimatology Palaeoecology. 412. 208–222. 23 indexed citations
9.
Wu, Henry C., Wenming Chen, Jih‐Terng Wang, et al.. (2007). The black disease of reef-building corals at green island, Taiwan : Outbreak of a cyanobacteriosponge, Terpios hoshinota (suberitidae; hadromerida). Zoological studies. 46(520). 520–520. 39 indexed citations
10.
Oda, Tatsuya & Henry C. Wu. (1994). Effect of Lovastatin on the Cytotoxicity of Ricin, Modeccin, Pseudomonas Toxin, and Diphtheria Toxin in Brefeldin A-Sensitive and -Resistant Cell Lines. Experimental Cell Research. 212(2). 329–337. 6 indexed citations
11.
Nambiar, Madhusoodana P., et al.. (1993). Involvement of the Golgi region in the intracellular trafficking of cholera toxin. Journal of Cellular Physiology. 154(2). 222–228. 49 indexed citations
12.
Yoshida, Takashi, et al.. (1991). Disruption of the Golgi apparatus by brefeldin A inhibits the cytotoxicity of ricin, modeccin, and Pseudomonas toxin. Experimental Cell Research. 192(2). 389–395. 139 indexed citations
13.
Muñoa, F., Kurt W. Miller, Richard Beers, Michael W. Graham, & Henry C. Wu. (1991). Membrane topology of Escherichia coli prolipoprotein signal peptidase (signal peptidase II).. Journal of Biological Chemistry. 266(26). 17667–17672. 45 indexed citations
14.
Hayashi, Shigeru & Henry C. Wu. (1990). Lipoproteins in bacteria. Journal of Bioenergetics and Biomembranes. 22(3). 451–471. 472 indexed citations
15.
Yoshida, Takashi, et al.. (1990). Increased cytotoxicity of ricin in a putative Golgi-defective mutant of Chinese hamster ovary cell. Experimental Cell Research. 190(1). 11–16. 31 indexed citations
16.
Ghosh, Prahlad C. & Henry C. Wu. (1988). Enhancement of cytotoxicity of modeccin by nigericin in modeccin-resistant mutant cell lines. Experimental Cell Research. 174(2). 397–410. 16 indexed citations
17.
Hayashi, Shigeru, Sui‐Yuan Chang, S Chang, Chou‐Zen Giam, & Henry C. Wu. (1985). Modification and processing of internalized signal sequences of prolipoprotein in Escherichia coli and in Bacillus subtilis.. Journal of Biological Chemistry. 260(9). 5753–5759. 33 indexed citations
18.
Ray, Biswajit & Henry C. Wu. (1981). Enhanced Internalization of Ricin in Nigericin-Pretreated Chinese Hamster Ovary Cells. Molecular and Cellular Biology. 1(6). 560–567. 14 indexed citations
19.
Ray, Biswajit & Henry C. Wu. (1981). Enhancement of cytotoxicities of ricin and Pseudomonas toxin in Chinese hamster ovary cells by nigericin.. Molecular and Cellular Biology. 1(6). 552–559. 14 indexed citations
20.
Lin, Jing‐Jer, H. Kanazawa, & Henry C. Wu. (1980). Purification and characterization of the outer membrane lipoprotein from an Escherichia coli mutant altered in the signal sequence of prolipoprotein.. Journal of Biological Chemistry. 255(3). 1160–1163. 19 indexed citations

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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