M Polansky

1.6k citations
8 papers · 1.3k · h-index 8

Impact in

    • Regulation of Appetite and Obesity
  • Physiology top 5%
    • Diet and metabolism studies
    • Nutrition and Health in Aging
    • Adipose Tissue and Metabolism
    • Body Composition Measurement Techniques

Papers in

    • Thermoregulation and physiological responses 3
    • Body Composition Measurement Techniques 2
    • Diet and metabolism studies 2
    • Muscle metabolism and nutrition 3

M Polansky

8 papers receiving 1.2k citations

Peers

M Polansky
Comparison fields: 5 of 94
  • Endocrine and Autonomic Systems 212
  • Physiology 611
  • Nutrition and Dietetics 338
  • Cell Biology 214
  • Obstetrics and Gynecology 72
Replace J. P. Felber with:
J. P. Felber Switzerland
J. A. Tuominen Finland
Lakshmi S. Tallam United States
A. Bertoli Italy
Barbara J. Frankel Sweden
Yoshiaki Keno Japan
JP Després Canada
F Lamisse France
Cristina Lara‐Castro United States
Vladan Antic Switzerland
M Polansky relative to J. P. Felber Switzerland J. P. Felber's profile →
Citations per field
00.5×
J. P. Felber · 1×
Citations per year

Countries citing papers authored by M Polansky

Since Specialization
Citations

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

Fields of papers citing papers by M Polansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 1986362
2 1987314
3 1997256
4 1988155
5 1996115
6 198865
7 198942
8
Effects of chromium and guar on sugar-induced hypertension in rats.
199532

About M Polansky

M Polansky is a scholar working on Physiology, Cell Biology, Endocrinology, Diabetes and Metabolism, Genetics and Nephrology, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (3 papers), Thermoregulation and physiological responses (3 papers), Body Composition Measurement Techniques (2 papers), Diet and metabolism studies (2 papers), Estrogen and related hormone effects (1 paper), Prostate Cancer Treatment and Research (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (212 citations), Physiology (611 citations), Nutrition and Dietetics (338 citations), Cell Biology (214 citations) and Obstetrics and Gynecology (72 citations). M Polansky has collaborated with scholars based in United States. Frequent co-authors include O E Owen, Jerzy W. Kolaczynski, Günther Boden, Z. V. Kendrick, G. Boden, David A. D’Alessio, Karl J. Smalley, Maria Mozzoli, Sonia Caprio and Carol J. Homko. Their work appears in journals such as American Journal of Clinical Nutrition, Journal of Clinical Investigation, American Journal of Obstetrics and Gynecology, Carcinogenesis and Kidney International.

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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