Michael M. Levitt

434 citations
12 papers · 213 · h-index 4

Impact in

    • Glioma Diagnosis and Treatment
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism
    • Thermoregulation and physiological responses
    • Body Composition Measurement Techniques

Papers in

Michael M. Levitt

9 papers receiving 191 citations

Peers

Michael M. Levitt
Comparison fields: 5 of 53
  • Genetics 43
  • Physiology 83
  • Cell Biology 44
  • Biological Psychiatry 5
  • Cancer Research 22
Replace Michael Petr with:
Michael Petr Denmark
Johannes Mayer Germany
Kitaro Kosaka Japan
Pascal Gottmann Germany
Estefanía Simoes Brazil
Elles van der Louw Netherlands
Heiko Brennenstuhl Germany
Patrik Feyh Germany
Jamie R. Doyle United States
Norma Spécola Argentina
Michael M. Levitt relative to Michael Petr Denmark Michael Petr's profile →
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Citations per year

Countries citing papers authored by Michael M. Levitt

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Levitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 198393
2 202157
3 202329
4
Erythrocyte catechol-o-methyltransferase activity in primary affective disorder.
197727
5 20222
6 20212
7 20201
8 20211
9 20201
10
Exercise-Induced Th17 Lymphocyte Response and Their Relationship to Cardiovascular Disease Risk Factors in Obese, Post-Menopausal Women
20180
11 20240
12 20210

About Michael M. Levitt

Michael M. Levitt is a scholar working on Molecular Biology, Genetics, Rehabilitation, Cancer Research and Pathology and Forensic Medicine, having authored 12 papers that have together received 213 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Biochemical and Molecular Research (2 papers), Exercise and Physiological Responses (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Acute Myeloid Leukemia Research (1 paper), Cancer Mechanisms and Therapy (1 paper), Muscle metabolism and nutrition (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Genetics (43 citations), Physiology (83 citations), Cell Biology (44 citations), Biological Psychiatry (5 citations) and Cancer Research (22 citations). Michael M. Levitt has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include E. R. Nadel, Rosa Hendler, Philip Felig, Dunner Dl, Fieve Rr, Samuel K. McBrayer, Yi Xiao, Denise M. O. Ramirez, Kimmo J. Hatanpaa and David M. Ashley. Their work appears in journals such as Neuro-Oncology, Neuro-Oncology Advances, American Journal of Physiology-Endocrinology and Metabolism, International Journal of Radiation Oncology*Biology*Physics and Cancer Discovery.

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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