Todd M. McCarty

3.0k citations
50 papers · 2.3k · h-index 25

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
  • Genetics top 2%
    • Virus-based gene therapy research

Papers in

    • Bariatric Surgery and Outcomes 5
    • Cutaneous Melanoma Detection and Management 5

Todd M. McCarty

49 papers receiving 2.2k citations

Peers

Todd M. McCarty
Comparison fields: 5 of 89
  • Oncology 728
  • Genetics 712
  • Biotechnology 185
  • Surgery 712
  • Hepatology 105
Replace Robert C. Ash with:
Robert C. Ash United States
Bryan M. Burt United States
John M. Routes United States
J. L. Smith United States
PL Weiden United States
Hilary Blacklock New Zealand
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Alla M. Rozenblit United States
H. Kabisch Germany
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Citations per field
00.5×5.5×
Robert C. Ash · 1×
Citations per year

Countries citing papers authored by Todd M. McCarty

Since Specialization
Citations

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

Fields of papers citing papers by Todd M. McCarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Todd M. McCarty, 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 Todd M. McCarty Line = papers co-authored together Todd M. McCarty 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 2001372
2
Selective replication and oncolysis in p53 mutant tumors with ONYX-015, an E1B-55kD gene-deleted adenovirus, in patients with advanced head and neck cancer: a phase II trial.
2000331
3 2005132
4 2004130
5 1999102
6 200099
7 200698
8 199982
9 199873
10 199771
11 200468
12 200467
13 200264
14 199757
15 200455
16 199946
17 200544
18 200444
19 200038
20 200236

About Todd M. McCarty

Todd M. McCarty is a scholar working on Surgery, Oncology, Genetics, Hepatology and Nephrology, having authored 50 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (5 papers), Bariatric Surgery and Outcomes (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Virus-based gene therapy research (5 papers), Parathyroid Disorders and Treatments (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Cancer Research and Treatments (3 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Oncology (728 citations), Genetics (712 citations), Biotechnology (185 citations), Surgery (712 citations) and Hepatology (105 citations). Todd M. McCarty has collaborated with scholars based in United States and Greece. Frequent co-authors include Joseph A. Kuhn, T. L. Fisher, John Nemunaitis, James C. Arseneau, Britta Randlev, Ian Ganly, Fadlo R. Khuri, David H. Kirn, David Arnold and Jeffrey P. Lamont. Their work appears in journals such as The American Journal of Surgery, Annals of Surgical Oncology, Journal of Clinical Oncology, Cancer Investigation and The Journal of Urology.

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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