Kerim Mutig

3.2k total citations
67 papers, 2.5k citations indexed

About

Kerim Mutig is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Social Psychology. According to data from OpenAlex, Kerim Mutig has authored 67 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 29 papers in Pulmonary and Respiratory Medicine and 10 papers in Social Psychology. Recurrent topics in Kerim Mutig's work include Ion Transport and Channel Regulation (36 papers), Electrolyte and hormonal disorders (23 papers) and Ion channel regulation and function (10 papers). Kerim Mutig is often cited by papers focused on Ion Transport and Channel Regulation (36 papers), Electrolyte and hormonal disorders (23 papers) and Ion channel regulation and function (10 papers). Kerim Mutig collaborates with scholars based in Germany, United States and Russia. Kerim Mutig's co-authors include Sebastian Bachmann, Turgay Saritas, Markus Bleich, Nina Himmerkus, Alexander Paliege, David H. Ellison, James A. McCormick, Thomas Kahl, Thomas E. Willnow and Chao-Ling Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Kerim Mutig

65 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kerim Mutig Germany 28 1.7k 698 494 457 304 67 2.5k
Toshiaki Monkawa Japan 31 1.7k 1.0× 362 0.5× 521 1.1× 251 0.5× 286 0.9× 68 2.9k
Marcelo D. Carattino United States 34 2.9k 1.7× 806 1.2× 244 0.5× 433 0.9× 321 1.1× 76 3.7k
Martine Imbert–Teboul France 28 1.4k 0.8× 569 0.8× 313 0.6× 201 0.4× 249 0.8× 54 2.1k
M. Wittner France 24 1.2k 0.7× 394 0.6× 292 0.6× 241 0.5× 86 0.3× 51 2.1k
Richard Larivière Canada 28 474 0.3× 358 0.5× 470 1.0× 204 0.4× 568 1.9× 70 2.7k
Bonnie L. Blazer‐Yost United States 27 1.4k 0.8× 439 0.6× 79 0.2× 143 0.3× 445 1.5× 87 2.0k
Sung‐Sen Yang Taiwan 19 1.1k 0.6× 316 0.5× 200 0.4× 227 0.5× 226 0.7× 41 1.3k
Marina Zelenina Sweden 18 1.3k 0.8× 636 0.9× 87 0.2× 100 0.2× 90 0.3× 34 1.7k
Katsuyoshi Tojo Japan 23 830 0.5× 151 0.2× 426 0.9× 60 0.1× 517 1.7× 81 2.3k
Nicholas Moss United States 21 611 0.4× 139 0.2× 116 0.2× 86 0.2× 160 0.5× 49 2.0k

Countries citing papers authored by Kerim Mutig

Since Specialization
Citations

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

Fields of papers citing papers by Kerim Mutig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerim Mutig

This figure shows the co-authorship network connecting the top 25 collaborators of Kerim Mutig. A scholar is included among the top collaborators of Kerim Mutig 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 Kerim Mutig. Kerim Mutig 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
1.
Mutig, Kerim, et al.. (2025). Inflammation and vasopressin hypersecretion in aging. Frontiers in Endocrinology. 16. 1689787–1689787.
2.
Dittmayer, Carsten, Duygu Elif Yılmaz, Michael Mülleder, et al.. (2024). Immunosuppression with cyclosporine versus tacrolimus shows distinctive nephrotoxicity profiles within renal compartments. Acta Physiologica. 240(8). e14190–e14190. 7 indexed citations
3.
Gubernatorova, Ekaterina O., et al.. (2024). Targeting inerleukin-6 for renoprotection. Frontiers in Immunology. 15. 1502299–1502299. 1 indexed citations
4.
5.
Mutig, Kerim, et al.. (2023). Effective wound healing agents based on N-alkenylimidazole zinc complexes derivatives: future prospects and opportunities. Research Results in Pharmacology. 9(3). 27–39.
6.
Yılmaz, Duygu Elif, et al.. (2022). Immunosuppressive calcineurin inhibitor cyclosporine A induces proapoptotic endoplasmic reticulum stress in renal tubular cells. Journal of Biological Chemistry. 298(3). 101589–101589. 26 indexed citations
7.
Xu, Yan, et al.. (2020). Angiotensin II receptor blockade alleviates calcineurin inhibitor nephrotoxicity by restoring cyclooxygenase 2 expression in kidney cortex. Acta Physiologica. 232(1). e13612–e13612. 11 indexed citations
8.
Tarasov, Vadim V., et al.. (2020). Calcium-Sensing Receptor and Regulation of WNK Kinases in the Kidney. Cells. 9(7). 1644–1644. 5 indexed citations
9.
Svistunov, Andrey А., et al.. (2020). Can Molecular Biology Propose Reliable Biomarkers for Diagnosing Major Depression?. Current Pharmaceutical Design. 27(2). 305–318. 8 indexed citations
10.
Cuevas, Catherina A., Carsten Dittmayer, Lauren N. Miller, et al.. (2019). WNK bodies cluster WNK4 and SPAK/OSR1 to promote NCC activation in hypokalemia. American Journal of Physiology-Renal Physiology. 318(1). F216–F228. 47 indexed citations
11.
Schneider, Wolfgang, et al.. (2018). Patients with hypokalemia develop WNK bodies in the distal convoluted tubule of the kidney. American Journal of Physiology-Renal Physiology. 316(2). F292–F300. 20 indexed citations
12.
Breiderhoff, Tilman, Nina Himmerkus, Allein Plain, et al.. (2017). Deletion of claudin-10 rescues claudin-16–deficient mice from hypomagnesemia and hypercalciuria. Kidney International. 93(3). 580–588. 44 indexed citations
13.
Milatz, Susanne, Nina Himmerkus, Kerim Mutig, et al.. (2016). Mosaic expression of claudins in thick ascending limbs of Henle results in spatial separation of paracellular Na + and Mg 2+ transport. Proceedings of the National Academy of Sciences. 114(2). E219–E227. 78 indexed citations
14.
Mutig, Kerim, et al.. (2016). Diagnostik des Skaphoids: Fraktur, Pseudarthrose, Durchblutung, Perfusion. Der Orthopäde. 45(11). 938–944. 1 indexed citations
15.
McCormick, James A., Chao-Ling Yang, Chong Zhang, et al.. (2014). Hyperkalemic hypertension–associated cullin 3 promotes WNK signaling by degrading KLHL3. Journal of Clinical Investigation. 124(11). 4723–4736. 112 indexed citations
16.
Vidal‐Petiot, Emmanuelle, Emilie Elvira‐Matelot, Kerim Mutig, et al.. (2013). WNK1 -related Familial Hyperkalemic Hypertension results from an increased expression of L-WNK1 specifically in the distal nephron. Proceedings of the National Academy of Sciences. 110(35). 14366–14371. 104 indexed citations
17.
Breiderhoff, Tilman, Nina Himmerkus, Marchel Stuiver, et al.. (2012). Deletion of claudin-10 ( Cldn10 ) in the thick ascending limb impairs paracellular sodium permeability and leads to hypermagnesemia and nephrocalcinosis. Proceedings of the National Academy of Sciences. 109(35). 14241–14246. 121 indexed citations
18.
Mutig, Kerim, Thomas Kahl, Turgay Saritas, et al.. (2011). Activation of the Bumetanide-sensitive Na+,K+,2Cl− Cotransporter (NKCC2) Is Facilitated by Tamm-Horsfall Protein in a Chloride-sensitive Manner. Journal of Biological Chemistry. 286(34). 30200–30210. 137 indexed citations
19.
Renigunta, Aparna, Vijay Renigunta, Turgay Saritas, et al.. (2010). Tamm-Horsfall Glycoprotein Interacts with Renal Outer Medullary Potassium Channel ROMK2 and Regulates Its Function. Journal of Biological Chemistry. 286(3). 2224–2235. 93 indexed citations
20.

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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