John Mao

1.5k citations
32 papers · 1.2k indexed · 1 hit paper · h-index 11

Impact in

Papers in

John Mao

32 papers receiving 1.1k citations

Hit Papers

Phase I Study of the Intravenous Administration of AttenuatedSalmonella typhimuriumto Patients With Metastatic Melanoma 2002 · 565 citations
5652002202620102018100200300400500

Peers

John Mao
Comparison fields: 5 of 95
  • Biotechnology 595
  • Hepatology 108
  • Genetics 295
  • Biomedical Engineering 456
  • Infectious Diseases 160
Replace M. Gabriela Kramer with:
M. Gabriela Kramer Spain
Krzysztof Piotr Bielawski Poland
Andrey Galkin United States
Djuro Josić United States
Li Fu United States
Anming Xiong United States
Jörg Haupenthal Germany
Ian Seymour Italy
Temduang Limpaiboon Thailand
Verónica S. Martínez Australia
John Mao relative to M. Gabriela Kramer Spain M. Gabriela Kramer's profile →
Citations per field
00.5×4.0×
M. Gabriela Kramer · 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-authorship network

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
#Work
1 20251
2 20242
3 20244
4 20224
5 20204
6 20199
7 201232
8 2006147
9 20043
10
Phase I Study of the Intravenous Administration of AttenuatedSalmonella typhimuriumto Patients With Metastatic Melanoma
Hit paper breakdown →
2002565
11 200212
12 2002101
13 2002108
14 20005
15 20006
16 199912
17 199810
18 199510
19 19943
20 199410

About John Mao

John Mao is a scholar working on Hepatology, Infectious Diseases, Pharmaceutical Science, Analytical Chemistry and Spectroscopy, 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 C virus research (7 papers), Hepatitis B Virus Studies (6 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 therapeutics and mechanisms (2 papers). The work is most often cited by research in Biotechnology (595 citations), Hepatology (108 citations), Genetics (295 citations), Biomedical Engineering (456 citations) and Infectious Diseases (160 citations). John Mao has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Susan MacDonald, Douglas J. Schwartzentruber, Kathleen E. Morton, Vee J. Gill, Sharon Mavroukakis, Frida Stock, Patrick Hwu, Nicholas P. Restifo, Richard M. Sherry and James C. Yang. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Agricultural and Food Chemistry, Journal of Pharmaceutical Sciences, Human Gene Therapy and AAPS PharmSciTech.

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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