John Wu

1.7k citations
34 papers · 1.5k · h-index 23

Impact in

    • DNA and Nucleic Acid Chemistry
    • Biochemical and Molecular Research
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Genomics and Chromatin Dynamics
    • Glycosylation and Glycoproteins Research
    • Advanced biosensing and bioanalysis techniques

Papers in

    • Biochemical and Molecular Research 7
    • DNA and Nucleic Acid Chemistry 5
    • Protist diversity and phylogeny 3
    • HIV/AIDS drug development and treatment 3

John Wu

33 papers receiving 1.5k citations

Peers

John Wu
Comparison fields: 5 of 113
  • Transplantation 76
  • Molecular Biology 1.1k
  • Physiology 58
  • Clinical Biochemistry 63
  • Genetics 201
Replace Benoı̂t Pinson with:
Benoı̂t Pinson France
Jean Velours France
Lillian Lou United States
Benjamin Clémençon Switzerland
Srinivas Ayyadevara United States
L. A. Heppel United States
Gary M. Jenkins United States
Alessandro Magini Italy
Xuemei Han China
Christopher Dunn United States
John Wu relative to Benoı̂t Pinson France Benoı̂t Pinson's profile →
Citations per field
00.5×5.8×
Benoı̂t Pinson · 1×
Citations per year

Countries citing papers authored by John Wu

Since Specialization
Citations

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

Fields of papers citing papers by John Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980211
2 1978167
3
Primate brain maps : structure of the macaque brain
2000142
4 1988101
5 1994101
6 198588
7 200981
8 198875
9 201056
10 199646
11 199545
12 199440
13 200836
14 198536
15 201835
16 201733
17 198628
18 198127
19 200925
20 198824

About John Wu

John Wu is a scholar working on Molecular Biology, Infectious Diseases, Pediatrics, Perinatology and Child Health, Oncology and Epidemiology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (7 papers), DNA and Nucleic Acid Chemistry (5 papers), Neonatal Health and Biochemistry (4 papers), Adenosine and Purinergic Signaling (3 papers), HIV/AIDS drug development and treatment (3 papers), Traumatic Brain Injury Research (3 papers), Protist diversity and phylogeny (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). The work is most often cited by research in Transplantation (76 citations), Molecular Biology (1.1k citations), Physiology (58 citations), Clinical Biochemistry (63 citations) and Genetics (201 citations). John Wu has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Laura Manuelidis, John W. Kozarich, JoAnne Stubbe, Daniel V. Santi, Richard Martin, Douglas M. Bowden, Mark Dubach, Kenneth Straub, Shin‐Ichi Aizawa and Ken F. Jarrell. Their work appears in journals such as Biochemistry, Journal of Bacteriology, Brain Research, Journal of Medicinal Chemistry and International Journal of Molecular Sciences.

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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