J Nedvı́dková

1.7k citations
99 papers · 1.4k indexed · h-index 22

J Nedvı́dková

94 papers receiving 1.3k citations

Peers

J Nedvı́dková
Comparison fields: 5 of 105
  • Endocrine and Autonomic Systems 671
  • Physiology 509
  • Nutrition and Dietetics 298
  • Clinical Psychology 340
  • Endocrinology, Diabetes and Metabolism 231
Replace Caroline Ketterer with:
Caroline Ketterer Germany
Suzette Y. Osei United States
Tobias Hofmann Germany
Adam P. Chambers United States
James R.C. Parkinson United Kingdom
Gilberto Paz-Filho Australia
Marta G. Novelle Spain
Ulf Elbelt Germany
L. Frank United States
Ginger C. Johnson United States
J Nedvı́dková relative to Caroline Ketterer Germany Caroline Ketterer's profile →
Citations per field
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Citations per year

Countries citing papers authored by J Nedvı́dková

Since Specialization
Citations

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

Fields of papers citing papers by J Nedvı́dková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20197
2 20133
3 20115
4 20091
5 20091
6 200826
7 200736
8 200421
9 20018
10 199910
11 199912
12 199941
13 19971
14 199610
15 19954
16 199317
17 19876
18
The effect of trimepranol on the binding of [3H] norepinephrine in myocardial subcellular fractions of the dog.
19761
19
Adrenergic binding sites and enzyme activities in the heart of hyperthyroid rats.
19754
20 196829

About J Nedvı́dková

J Nedvı́dková is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Physiology, having authored 99 papers that have together received 1.4k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (40 papers), Eating Disorders and Behaviors (15 papers), Thyroid Disorders and Treatments (13 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Adipose Tissue and Metabolism (12 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Biochemical Analysis and Sensing Techniques (9 papers) and Diet and metabolism studies (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (671 citations), Physiology (509 citations) and Nutrition and Dietetics (298 citations). J Nedvı́dková has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Martin Haluzı́k, Hana Papežová, Vojtěch Hainer, Kvido Smitka, Karel Pacák, I Dostálová, Martin Hill, Salvatore Alesci, V Schreiber and Philip W. Gold. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Brain Research and Journal of Applied Physiology.

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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