Maya Marchese

1.3k citations
49 papers · 852 · h-index 18

Impact in

Papers in

Maya Marchese

48 papers receiving 842 citations

Peers

Maya Marchese
Comparison fields: 5 of 77
  • Urology 67
  • Pulmonary and Respiratory Medicine 189
  • Oncology 138
  • Surgery 182
  • Rheumatology 42
Replace Eugene B. Cone with:
Eugene B. Cone United States
Marco Paciotti Italy
Amy L. Tin United States
Tarun Jindal India
B. Hoschke Germany
Nicole Benfante United States
Kang-Hsien Fan United States
Marcello Di Martino Spain
Mohammed Shahait United States
James N. Armitage United Kingdom
Maya Marchese relative to Eugene B. Cone United States Eugene B. Cone's profile →
Citations per field
00.5×3.2×
Eugene B. Cone · 1×
Citations per year

Countries citing papers authored by Maya Marchese

Since Specialization
Citations

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

Fields of papers citing papers by Maya Marchese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020130
2 201973
3 202069
4 201951
5 202041
6 202035
7 201830
8 202129
9 201928
10 202027
11 201427
12 201924
13 201923
14 201923
15 202121
16 202120
17 201919
18 202218
19 202013
20 201913

About Maya Marchese

Maya Marchese is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Cardiology and Cardiovascular Medicine and Rheumatology, having authored 49 papers that have together received 852 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (9 papers), Cancer Immunotherapy and Biomarkers (7 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Renal cell carcinoma treatment (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Prostate Cancer Treatment and Research (4 papers), Renal and related cancers (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Urology (67 citations), Pulmonary and Respiratory Medicine (189 citations), Oncology (138 citations), Surgery (182 citations) and Rheumatology (42 citations). Maya Marchese has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Quoc‐Dien Trinh, Alexander P. Cole, Adam S. Kibel, Eugene B. Cone, Stuart R. Lipsitz, Junaid Nabi, Marieke J. Krimphove, David‐Dan Nguyen, David F. Friedlander and Marco Paciotti. Their work appears in journals such as Cancer, JAMA Network Open, Journal of Clinical Oncology, Urologic Oncology Seminars and Original Investigations and Prostate Cancer and Prostatic Diseases.

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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