Minya Pu

4.2k citations
74 papers · 2.4k · 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

    • Cancer Risks and Factors 5
    • MicroRNA in disease regulation 5
    • Breast Cancer Treatment Studies 5

Minya Pu

71 papers receiving 2.3k citations

Peers

Minya Pu
Comparison fields: 5 of 128
  • Virology 161
  • Immunology 620
  • Oncology 674
  • Cancer Research 359
  • Pharmacology 183
Replace Hans L. Tillmann with:
Hans L. Tillmann Germany
Françoise Degos France
Eiji Tanaka Japan
Yi‐Lin Chiu United States
Lawrence M. Blatt United States
Thomas Höhler Germany
Élie Serge Zafrani France
Cord Naujokat Germany
Junqi Niu China
Minya Pu relative to Hans L. Tillmann Germany Hans L. Tillmann's profile →
Citations per field
00.5×1.6×
Hans L. Tillmann · 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 2011246
2 2017230
3 2018144
4 2003121
5 2011112
6 201597
7 201473
8 201072
9 201171
10 201367
11 201962
12 200855
13 201253
14 201052
15 200951
16 200951
17 201449
18 201148
19 200847
20 202342

About Minya Pu

Minya Pu is a scholar working on Oncology, Cancer Research, Immunology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immune Response and Inflammation (10 papers), HIV Research and Treatment (5 papers), Nutritional Studies and Diet (5 papers), Influenza Virus Research Studies (5 papers), Immune Cell Function and Interaction (5 papers), MicroRNA in disease regulation (5 papers), Breast Cancer Treatment Studies (5 papers) and Cancer Risks and Factors (5 papers). The work is most often cited by research in Virology (161 citations), Immunology (620 citations), Oncology (674 citations), Cancer Research (359 citations) and Pharmacology (183 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, Tomoko Hayashi, Shirley W. Flatt, Shiyin Yao, Cynthia A. Thomson, Cheryl L. Rock and Lisa Madlensky. 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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