Minya Pu

4.3k citations
74 papers · 2.5k · h-index 29

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

Minya Pu

73 papers receiving 2.4k citations

Peers

Minya Pu
Comparison fields: 5 of 131
  • Virology 140
  • Immunology 586
  • Oncology 573
  • Cancer Research 302
  • Pharmacology 166
Replace Carlos Muro‐Cacho with:
Carlos Muro‐Cacho United States
Lawrence M. Blatt United States
Yi‐Lin Chiu United States
Eiji Tanaka Japan
Thomas Höhler Germany
Anil Tulpule United States
Andrew Gibson United States
M. Diago Spain
Stefan Zeuzem Germany
Élie Serge Zafrani France
Minya Pu relative to Carlos Muro‐Cacho United States Carlos Muro‐Cacho's profile →
Citations per field
00.5×10×13.5×
Carlos Muro‐Cacho · 1×
Citations per year

Countries citing papers authored by Minya Pu

Since Specialization
Citations

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

Fields of papers citing papers by Minya Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011264
2 2017237
3 2018152
4 2003132
5 2011116
6 2015101
7 201181
8 201078
9 201475
10 201371
11 201966
12 200861
13 200957
14 201255
15 200954
16 201052
17 201151
18 201449
19 200847
20 202346

About Minya Pu

Minya Pu is a scholar working on Cancer Research, Molecular Biology, Immunology, Oncology and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), Influenza Virus Research Studies (5 papers), MicroRNA in disease regulation (5 papers), interferon and immune responses (4 papers), Immune Cell Function and Interaction (4 papers), Extracellular vesicles in disease (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Virology (140 citations), Immunology (586 citations), Oncology (573 citations), Cancer Research (302 citations) and Pharmacology (166 citations). Minya Pu has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Karen Messer, Loki Natarajan, John P. Pierce, Dennis A. Carson, Shirley W. Flatt, Tomoko Hayashi, Shiyin Yao, Cynthia A. Thomson, Cheryl L. Rock and Barbara A. Parker. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, The Journal of Infectious Diseases, Cancer Epidemiology Biomarkers & Prevention and PLoS ONE.

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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