Michael A. McNutt

7.6k citations
105 papers · 5.8k · h-index 45

Impact in

Papers in

Michael A. McNutt

105 papers receiving 5.7k citations

Peers

Michael A. McNutt
Comparison fields: 5 of 141
  • Geriatrics and Gerontology 132
  • Cancer Research 561
  • Oncology 968
  • Molecular Biology 2.3k
  • Rheumatology 454
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Yoshinobu Eishi Japan
Derek A. Mann United Kingdom
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Takeshi Uchiumi Japan
Tetsuo Takehara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Michael A. McNutt

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. McNutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. McNutt. 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 Michael A. McNutt. The network helps show where Michael A. McNutt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Monoclonal antibodies specific for melanocytic tumors distinguish subpopulations of melanocytes.
1986431
2 2007297
3 2009270
4
HHF35, a muscle actin-specific monoclonal antibody. II. Reactivity in normal, reactive, and neoplastic human tissues.
1987230
5 2010193
6 2014190
7 1986187
8 2006172
9 2007138
10 2009135
11 1985120
12 2015113
13
Expression of myogenic regulatory proteins (myogenin and MyoD1) in small blue round cell tumors of childhood.
1995111
14 2010109
15 201797
16
The immunophenotype of hemangiopericytomas and glomus tumors, with special reference to muscle protein expression: an immunohistochemical study and review of the literature.
199192
17 201789
18 199785
19 202083
20 201481

About Michael A. McNutt

Michael A. McNutt is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Immunology and Surgery, having authored 105 papers that have together received 5.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), DNA Repair Mechanisms (8 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Cancer-related Molecular Pathways (6 papers), Cancer-related gene regulation (6 papers), interferon and immune responses (5 papers), Epigenetics and DNA Methylation (5 papers) and Sarcoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Geriatrics and Gerontology (132 citations), Cancer Research (561 citations), Oncology (968 citations), Molecular Biology (2.3k citations) and Rheumatology (454 citations). Michael A. McNutt has collaborated with scholars based in China, United States and Canada. Frequent co-authors include A M Gown, Jiang Gu, Yuxin Yin, John W. Bolen, Arthur Vogel, Wei‐Guo Zhu, Samuel P. Hammar, Wenjuan Liao, Christine Korteweg and Yan Jin. Their work appears in journals such as PLoS ONE, Human Pathology, International Journal of Cancer, Journal of Cellular Biochemistry and Oncotarget.

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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