Waldemar Kanczkowski

1.5k total citations
35 papers, 945 citations indexed

About

Waldemar Kanczkowski is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Behavioral Neuroscience. According to data from OpenAlex, Waldemar Kanczkowski has authored 35 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Immunology and 10 papers in Behavioral Neuroscience. Recurrent topics in Waldemar Kanczkowski's work include Adrenal Hormones and Disorders (21 papers), Hormonal Regulation and Hypertension (13 papers) and Stress Responses and Cortisol (10 papers). Waldemar Kanczkowski is often cited by papers focused on Adrenal Hormones and Disorders (21 papers), Hormonal Regulation and Hypertension (13 papers) and Stress Responses and Cortisol (10 papers). Waldemar Kanczkowski collaborates with scholars based in Germany, United Kingdom and United States. Waldemar Kanczkowski's co-authors include Stefan R. Bornstein, Kai Zacharowski, Mariko Sue, Triantafyllos Chavakis, Sylvia Großklaus, Martín Reincke, Nguyen Tran, Manfred P. Wirth, Monika Ehrhart‐Bornstein and Felix Beuschlein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Endocrine Reviews.

In The Last Decade

Waldemar Kanczkowski

34 papers receiving 933 citations

Peers

Waldemar Kanczkowski
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 318
  • Molecular Biology 217
  • Immunology 185
  • Behavioral Neuroscience 134
  • Epidemiology 123
Replace Junji Takeyama with:
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Yael Goldfarb Israel
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Verena Briner Switzerland
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Junji Takeyama Japan View profile →
Citations per field, relative to Waldemar Kanczkowski
Waldemar Kanczkowski · 1×
Citations per year, relative to Waldemar Kanczkowski
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Countries citing papers authored by Waldemar Kanczkowski

Since Specialization
Citations

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

Fields of papers citing papers by Waldemar Kanczkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waldemar Kanczkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Waldemar Kanczkowski. A scholar is included among the top collaborators of Waldemar Kanczkowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Waldemar Kanczkowski. Waldemar Kanczkowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2 4
3 26
4 11
5 56
6 10
7 13
8 21
9 83
10 36
11 22
12 81
13 35
14 35
15 5
16 20
17 8
18 32
19 7
20 47

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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