M. I. Ross

2.2k citations
17 papers · 1.6k · h-index 10

Impact in

  • Oncology top 2%
    • Cutaneous Melanoma Detection and Management
    • CAR-T cell therapy research
  • Biophysics top 2%
    • Cell Image Analysis Techniques

Papers in

    • Cutaneous Melanoma Detection and Management 11
    • CAR-T cell therapy research 2
    • Melanoma and MAPK Pathways 3

M. I. Ross

17 papers receiving 1.6k citations

Peers

M. I. Ross
Comparison fields: 5 of 72
  • Oncology 1.3k
  • Biophysics 113
  • Dermatology 125
  • Immunology and Allergy 56
  • Cancer Research 127
Replace Duan‐Ren Wen with:
Duan‐Ren Wen United States
David P. Rapaport United States
Christopher A. Puleo United States
Christiane Bailly France
Andrea Lippold Germany
Hans Starz Germany
Vincent J. McGovern Australia
Roberto Patuzzo Italy
John J. Albertini United States
Suroosh S. Marzban United States
M. I. Ross relative to Duan‐Ren Wen United States Duan‐Ren Wen's profile →
Citations per field
00.5×1.5×1.8×
Duan‐Ren Wen · 1×
Citations per year

Countries citing papers authored by M. I. Ross

Since Specialization
Citations

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

Fields of papers citing papers by M. I. Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. I. Ross. 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 M. I. Ross. The network helps show where M. I. Ross may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1996461
2 2000341
3 2004305
4 2010223
5 1998161
6 200030
7 199826
8 201620
9 201613
10 199610
11 19937
12 20106
13 19974
14 20104
15
Locoregional disease control in metastatic melanoma: Exploratory analysis from phase 2 testing of intralesional rose bengal
20133
16 20152
17 20081

About M. I. Ross

M. I. Ross is a scholar working on Oncology, Molecular Biology, Artificial Intelligence, Biophysics and Cancer Research, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (11 papers), Melanoma and MAPK Pathways (3 papers), AI in cancer detection (3 papers), Cell Image Analysis Techniques (3 papers), Cancer Genomics and Diagnostics (2 papers), Immunotherapy and Immune Responses (2 papers), CAR-T cell therapy research (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Oncology (1.3k citations), Biophysics (113 citations), Dermatology (125 citations), Immunology and Allergy (56 citations) and Cancer Research (127 citations). M. I. Ross has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Jeffrey E. Gershenwald, Marshall M. Urist, William R. Jewell, Martín C. Mihm, Walley Temple, Raymond L. Barnhill, Charles M. Balch, Alfred A. Bartolucci, Harold J. Wanebo and Thomas J. Smith. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer, Annals of Oncology, Annals of Surgical Oncology and Hematology/Oncology Clinics of North America.

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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