Paul Monk

1.3k citations
50 papers · 390 · h-index 11

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Cancer Treatment and Pharmacology
    • Colorectal Cancer Treatments and Studies
    • Prostate Cancer Treatment and Research
    • Renal cell carcinoma treatment
    • Prostate Cancer Diagnosis and Treatment

Papers in

    • Cancer Immunotherapy and Biomarkers 17
    • Peptidase Inhibition and Analysis 10
    • Lung Cancer Research Studies 4
    • Prostate Cancer Treatment and Research 17
    • Renal cell carcinoma treatment 9

Paul Monk

47 papers receiving 389 citations

Peers

Paul Monk
Comparison fields: 5 of 57
  • Oncology 228
  • Pulmonary and Respiratory Medicine 167
  • Cancer Research 59
  • Immunology 52
  • Surgery 82
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Paloma Martín-Martorell Spain
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Brenda Dickow United States
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Prasanth Reddy United States
Robert Orlowski United States
Audrey Simonaggio France
Yalun Li China
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Citations per field
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Citations per year

Countries citing papers authored by Paul Monk

Since Specialization
Citations

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

Fields of papers citing papers by Paul Monk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200257
2 201736
3 202128
4 202325
5 202120
6 201814
7 202014
8 201713
9 202012
10 201612
11 201411
12 20189
13 20149
14 20239
15 20198
16 20217
17 20187
18 20157
19 20197
20 20217

About Paul Monk

Paul Monk is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Cancer Research, having authored 50 papers that have together received 390 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (17 papers), Prostate Cancer Treatment and Research (17 papers), Bladder and Urothelial Cancer Treatments (11 papers), Peptidase Inhibition and Analysis (10 papers), Renal cell carcinoma treatment (9 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Urinary and Genital Oncology Studies (4 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Oncology (228 citations), Pulmonary and Respiratory Medicine (167 citations), Cancer Research (59 citations), Immunology (52 citations) and Surgery (82 citations). Paul Monk has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Amir Mortazavi, Steven K. Clinton, Charles L. Shapiro, Eric H. Kraut, Miguel A. Villalona‐Calero, Manisha H. Shah, Gregory A. Otterson, P. Nadella, Howard L. Parnes and Ming Yin. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cancer Medicine, Cancer Chemotherapy and Pharmacology and Journal of Immunotherapy.

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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