P.N. Munster

763 citations
19 papers · 618 · h-index 12

Impact in

  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis
    • Cancer Treatment and Pharmacology
    • Cancer-related Molecular Pathways

Papers in

P.N. Munster

18 papers receiving 606 citations

Peers

P.N. Munster
Comparison fields: 5 of 50
  • Oncology 301
  • Cancer Research 79
  • Molecular Biology 296
  • Hepatology 29
  • Pulmonary and Respiratory Medicine 112
Replace Xinmin Zhao with:
Xinmin Zhao China
Max Hallin United States
Minsig Choi United States
Oriol Arpí Spain
Brett H. Simmons United States
B. Markman Australia
Jennifer A. Grabowsky United States
Meghan Nechrebecki United States
Marissa S. Mattar United States
P.N. Munster relative to Xinmin Zhao China Xinmin Zhao's profile →
Citations per field
00.5×1.5×
Xinmin Zhao · 1×
Citations per year

Countries citing papers authored by P.N. Munster

Since Specialization
Citations

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

Fields of papers citing papers by P.N. Munster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.N. Munster. 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 P.N. Munster. The network helps show where P.N. Munster may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018109
2 201182
3 201567
4 200962
5 200660
6 201351
7 200650
8 201631
9 200828
10 201926
11 201622
12 200816
13 20135
14 20194
15 20082
16 20161
17 20171
18 20101
19 20040

About P.N. Munster

P.N. Munster is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Public Health, Environmental and Occupational Health and Cancer Research, having authored 19 papers that have together received 618 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (7 papers), Cancer Treatment and Pharmacology (5 papers), Advanced Breast Cancer Therapies (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Economic and Financial Impacts of Cancer (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Oncology (301 citations), Cancer Research (79 citations), Molecular Biology (296 citations), Hepatology (29 citations) and Pulmonary and Respiratory Medicine (112 citations). P.N. Munster has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Ann M. Kapoun, Renata Ferrarotto, Akash Patnaik, John V. Heymach, Gail Eckhardt, Patricia LoRusso, Lu Xu, Charles Zacharchuk, Aslamuzzaman Kazi and Mario Campone. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Annals of Oncology, European Journal of Cancer and Clinical Cancer Research.

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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