John Mao

32 papers receiving 1.1k citations

John Mao's Hit Papers

Phase I Study of the Intravenous Administration of AttenuatedSalmonella typhimuriumto Patients With Metastatic Melanoma 2002 · 587 citations
5870+8+16Years since publication100200300400500

Peers

John Mao
Comparison fields: 5 of 93
  • Biotechnology 602
  • Hepatology 103
  • Genetics 278
  • Biomedical Engineering 437
  • Infectious Diseases 148
Replace Krzysztof Piotr Bielawski with:
Krzysztof Piotr Bielawski Poland
M. Gabriela Kramer Spain
Andrey Galkin United States
Jörg Haupenthal Germany
Li Fu United States
Anming Xiong United States
Song Huang Switzerland
Ian Seymour Italy
Guojian Liao China
Joana Gomes Portugal
John Mao relative to Krzysztof Piotr Bielawski Poland Krzysztof Piotr Bielawski's profile →
Citations per field
00.5×8.4×
Krzysztof Piotr Bielawski · 1×
Citations per year

Countries citing papers authored by John Mao

Since Specialization
Citations

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

Fields of papers citing papers by John Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Phase I Study of the Intravenous Administration of AttenuatedSalmonella typhimuriumto Patients With Metastatic Melanoma
Hit paper breakdown →
2002587
2 2006148
3 2002109
4 2002101
5 201232
6 199723
7 199523
8 200118
9 200212
10 199912
11 199311
12 201010
13 199810
14 199410
15 199510
16 20199
17 20218
18 19957
19 19947
20 20006

About John Mao

John Mao is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Hepatology and Organic Chemistry, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (8 papers), Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (6 papers), Analytical Chemistry and Chromatography (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Analytical chemistry methods development (3 papers), Biochemical and Molecular Research (3 papers) and Pesticide Residue Analysis and Safety (2 papers). The work is most often cited by research in Biotechnology (602 citations), Hepatology (103 citations), Genetics (278 citations), Biomedical Engineering (437 citations) and Infectious Diseases (148 citations). John Mao has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Susan MacDonald, Donald White, Frida Stock, Douglas J. Schwartzentruber, Vee J. Gill, Claudia A. Seipp, Patrick Hwu, James C. Yang, Mario Sznol and Suzanne L. Topalian. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Antimicrobial Agents and Chemotherapy, Journal of Clinical Oncology, Journal of Medicinal Chemistry and Journal of Chromatography A.

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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