Kapil Kampe

567 total citations
9 papers, 361 citations indexed

About

Kapil Kampe is a scholar working on Surgery, Molecular Biology and Epidemiology. According to data from OpenAlex, Kapil Kampe has authored 9 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Kapil Kampe's work include Pancreatic function and diabetes (4 papers), Congenital heart defects research (2 papers) and Lipid metabolism and biosynthesis (2 papers). Kapil Kampe is often cited by papers focused on Pancreatic function and diabetes (4 papers), Congenital heart defects research (2 papers) and Lipid metabolism and biosynthesis (2 papers). Kapil Kampe collaborates with scholars based in Switzerland, United States and Germany. Kapil Kampe's co-authors include Andreas Werner Jehle, Jonas Sieber, Peter Mündel, Maja T. Lindenmeyer, Clemens D. Cohen, Helmut Hopfer, Kirk N. Campbell, Astrid Weins, Stefan Gruber and Julie Kerr‐Conte and has published in prestigious journals such as Diabetes, American Journal Of Pathology and American Journal of Physiology-Renal Physiology.

In The Last Decade

Kapil Kampe

9 papers receiving 356 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kapil Kampe Switzerland 7 113 103 100 98 58 9 361
Gloria Michelle Ducasa United States 8 129 1.1× 78 0.8× 128 1.3× 76 0.8× 27 0.5× 15 364
Xinxin Pang China 13 145 1.3× 57 0.6× 88 0.9× 53 0.5× 25 0.4× 19 333
Yuji Shiozaki Japan 12 104 0.9× 78 0.8× 177 1.8× 43 0.4× 98 1.7× 27 391
Kazu Hamada Japan 8 196 1.7× 81 0.8× 208 2.1× 104 1.1× 74 1.3× 16 551
Danfeng Peng China 13 115 1.0× 95 0.9× 76 0.8× 99 1.0× 90 1.6× 36 416
Toshihide Shike Japan 10 117 1.0× 74 0.7× 159 1.6× 56 0.6× 90 1.6× 15 443
Hai-Ying Qi China 6 168 1.5× 54 0.5× 157 1.6× 48 0.5× 41 0.7× 12 403
Shuqin Mei China 13 233 2.1× 115 1.1× 160 1.6× 60 0.6× 91 1.6× 22 531
Aydın Güçlü Türkiye 12 92 0.8× 66 0.6× 26 0.3× 89 0.9× 22 0.4× 20 357

Countries citing papers authored by Kapil Kampe

Since Specialization
Citations

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

Fields of papers citing papers by Kapil Kampe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kapil Kampe

This figure shows the co-authorship network connecting the top 25 collaborators of Kapil Kampe. A scholar is included among the top collaborators of Kapil Kampe 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 Kapil Kampe. Kapil Kampe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Al‐Balool, Haya H., Alice Gardham, Emma Wakeling, et al.. (2023). Expanding the allelic spectrum of ELOVL4‐related autosomal recessive neuro‐ichthyosis. Molecular Genetics & Genomic Medicine. 11(12). e2256–e2256. 4 indexed citations
2.
Löffler, Markus, Michael Ghosh, Hans‐Georg Rammensee, et al.. (2022). T cells of colorectal cancer patients’ stimulated by neoantigenic and cryptic peptides better recognize autologous tumor cells. Journal for ImmunoTherapy of Cancer. 10(12). e005651–e005651. 14 indexed citations
3.
Massadeh, Salam, Nour Albesher, Fahad Alhabshan, et al.. (2021). Novel Autosomal Recessive Splice-Altering Variant in PRKD1 Is Associated with Congenital Heart Disease. Genes. 12(5). 612–612. 16 indexed citations
4.
Ashaat, Engy A., Ana Westenberger, Samira Ismail, et al.. (2020). A novel homozygous variant in the TRAPPC9 gene causing intellectual disability and autism Spectrum disorder. Meta Gene. 26. 100783–100783. 2 indexed citations
5.
Kampe, Kapil, et al.. (2017). Fetuin-A aggravates lipotoxicity in podocytes via interleukin-1 signaling. Physiological Reports. 5(10). e13287–e13287. 12 indexed citations
6.
Sauter, Nadine S., Constanze Thienel, Kapil Kampe, et al.. (2014). Angiotensin II Induces Interleukin-1β–Mediated Islet Inflammation and β-Cell Dysfunction Independently of Vasoconstrictive Effects. Diabetes. 64(4). 1273–1283. 49 indexed citations
7.
Sieber, Jonas, Astrid Weins, Kapil Kampe, et al.. (2013). Susceptibility of Podocytes to Palmitic Acid Is Regulated by Stearoyl-CoA Desaturases 1 and 2. American Journal Of Pathology. 183(3). 735–744. 49 indexed citations
8.
Kampe, Kapil, et al.. (2013). Susceptibility of podocytes to palmitic acid is regulated by fatty acid oxidation and inversely depends on acetyl-CoA carboxylases 1 and 2. American Journal of Physiology-Renal Physiology. 306(4). F401–F409. 40 indexed citations
9.
Sieber, Jonas, Maja T. Lindenmeyer, Kapil Kampe, et al.. (2010). Regulation of podocyte survival and endoplasmic reticulum stress by fatty acids. American Journal of Physiology-Renal Physiology. 299(4). F821–F829. 175 indexed citations

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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