Gerda K. Pot

61 papers receiving 2.0k citations

Peers

Gerda K. Pot
Comparison fields: 5 of 107
  • Endocrine and Autonomic Systems 295
  • Public Health, Environmental and Occupational Health 723
  • Experimental and Cognitive Psychology 322
  • Physiology 586
  • Nutrition and Dietetics 317
Replace Antonia‐Leda Matalas with:
Antonia‐Leda Matalas Greece
Catherine E. Huggins Australia
Masako Kakizaki Japan
Alexis C. Wood United States
Claire T. McEvoy United Kingdom
Nour Makarem United States
Stine‐Mathilde Dalskov Denmark
Zahara Abdul Manaf Malaysia
Victoria A. Catenacci United States
R. R. Fabsitz United States
Gerda K. Pot relative to Antonia‐Leda Matalas Greece Antonia‐Leda Matalas's profile →
Citations per field
00.5×4.7×
Antonia‐Leda Matalas · 1×
Citations per year

Countries citing papers authored by Gerda K. Pot

Since Specialization
Citations

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

Fields of papers citing papers by Gerda K. Pot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerda K. Pot. 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 Gerda K. Pot. The network helps show where Gerda K. Pot may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011166
2 2016161
3 2020138
4 2016129
5 2016112
6 2017102
7 201892
8 201687
9 201483
10 201773
11 200872
12 201572
13 201165
14 201559
15 200957
16 201437
17 201533
18 200932
19 201932
20 201931

About Gerda K. Pot

Gerda K. Pot is a scholar working on Public Health, Environmental and Occupational Health, Experimental and Cognitive Psychology, Physiology, Endocrine and Autonomic Systems and Nutrition and Dietetics, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (19 papers), Sleep and related disorders (12 papers), Obesity, Physical Activity, Diet (11 papers), Circadian rhythm and melatonin (10 papers), Dietary Effects on Health (9 papers), Consumer Attitudes and Food Labeling (7 papers), Sleep and Wakefulness Research (5 papers) and Fatty Acid Research and Health (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (295 citations), Public Health, Environmental and Occupational Health (723 citations), Experimental and Cognitive Psychology (322 citations), Physiology (586 citations) and Nutrition and Dietetics (317 citations). Gerda K. Pot has collaborated with scholars based in United Kingdom, Netherlands and Brazil. Frequent co-authors include Suzana Almoosawi, Alison M. Stephen, Julia Darzi, Scott Harding, Snieguole Vingeliene, Leonidas G. Karagounis, Rebecca Hardy, Jonathan D. Johnston, David A. Bechtold and A. M. Stephen. Their work appears in journals such as British Journal Of Nutrition, Proceedings of The Nutrition Society, European Journal of Clinical Nutrition, Nutrients and American Journal of Clinical Nutrition.

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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