John Mao

34 papers receiving 1.3k citations

John Mao's Hit Papers

Phase I Study of the Intravenous Administration of AttenuatedSalmonella typhimuriumto Patients With Metastatic Melanoma 2002 · 646 citations
6460+8+16Years since publication200400600

Peers

John Mao
Comparison fields: 5 of 97
  • Biotechnology 658
  • Hepatology 132
  • Infectious Diseases 198
  • Genetics 295
  • Biomedical Engineering 460
Replace Joshua Sakon with:
Joshua Sakon United States
Maria Gabriela Kramer Spain
Krzysztof Piotr Bielawski Poland
Jörg Haupenthal Germany
Andrey G. Galkin United States
Song Huang Switzerland
Anming Xiong United States
Yukun Guan United States
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John Mao relative to Joshua Sakon United States Joshua Sakon's profile →
Citations per field
00.5×2×2.8×
Joshua Sakon · 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 34 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 →
2002646
2 2006168
3 2002112
4 2002110
5 201234
6 200732
7 199525
8 199725
9 200119
10 202414
11 200214
12 199912
13 201012
14 199512
15 199311
16 199411
17 199810
18 201910
19 20219
20 20238

About John Mao

John Mao is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Spectroscopy and Analytical Chemistry, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (8 papers), Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (7 papers), Analytical Chemistry and Chromatography (4 papers), Biochemical and Molecular Research (3 papers), Analytical chemistry methods development (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Biotechnology (658 citations), Hepatology (132 citations), Infectious Diseases (198 citations), Genetics (295 citations) and Biomedical Engineering (460 citations). John Mao has collaborated with scholars based in United States, China and France. Frequent co-authors include Susan E. MacDonald, Donald White, Patrick Hwu, Richard Mark Sherry, Frida Stock, Francesco Maria Marincola, Douglas J. Schwartzentruber, James Chih-Hsin Yang, Vee J. Gill and John F. Toso. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Antimicrobial Agents and Chemotherapy, EClinicalMedicine, Bioorganic & Medicinal Chemistry Letters and Antiviral chemistry & chemotherapy.

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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