Ashok Kumar Kumawat

970 total citations
33 papers, 716 citations indexed

About

Ashok Kumar Kumawat is a scholar working on Epidemiology, Genetics and Immunology. According to data from OpenAlex, Ashok Kumar Kumawat has authored 33 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 12 papers in Genetics and 11 papers in Immunology. Recurrent topics in Ashok Kumar Kumawat's work include Microscopic Colitis (11 papers), Inflammatory Bowel Disease (10 papers) and Atherosclerosis and Cardiovascular Diseases (6 papers). Ashok Kumar Kumawat is often cited by papers focused on Microscopic Colitis (11 papers), Inflammatory Bowel Disease (10 papers) and Atherosclerosis and Cardiovascular Diseases (6 papers). Ashok Kumar Kumawat collaborates with scholars based in Sweden, India and United Kingdom. Ashok Kumar Kumawat's co-authors include Elisabeth Hultgren Hörnquist, Allan Sirsjö, Geena Varghese Paramel, Liza U. Ljungberg, Mulugeta M. Zegeye, Magnus Grenegård, Knut Fälker, Madelene Lindkvist, Johan Bohr and Curt Tysk and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ashok Kumar Kumawat

29 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashok Kumar Kumawat Sweden 12 285 190 174 156 102 33 716
R. Brizzolara Italy 16 148 0.5× 158 0.8× 139 0.8× 353 2.3× 104 1.0× 52 990
Zhiyong Chen China 14 381 1.3× 116 0.6× 48 0.3× 98 0.6× 84 0.8× 38 690
Aze Wilson Canada 14 163 0.6× 179 0.9× 246 1.4× 101 0.6× 11 0.1× 39 669
Jonas Weyler Belgium 11 247 0.9× 82 0.4× 120 0.7× 92 0.6× 35 0.3× 21 604
N Sartory Germany 4 133 0.5× 173 0.9× 104 0.6× 249 1.6× 26 0.3× 4 642
Elisa Piscianz Italy 16 99 0.3× 259 1.4× 46 0.3× 172 1.1× 17 0.2× 43 643
Ann-Marcia C. Tukpah United States 6 197 0.7× 209 1.1× 135 0.8× 594 3.8× 35 0.3× 13 1.0k
Maria Kulecka Poland 18 95 0.3× 464 2.4× 76 0.4× 72 0.5× 19 0.2× 67 871
Margaret R. Dunne Ireland 18 167 0.6× 158 0.8× 47 0.3× 604 3.9× 27 0.3× 54 1.1k
Christopher Piper United Kingdom 6 99 0.3× 350 1.8× 79 0.5× 329 2.1× 25 0.2× 7 791

Countries citing papers authored by Ashok Kumar Kumawat

Since Specialization
Citations

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

Fields of papers citing papers by Ashok Kumar Kumawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashok Kumar Kumawat. 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 Ashok Kumar Kumawat. The network helps show where Ashok Kumar Kumawat may publish in the future.

Co-authorship network of co-authors of Ashok Kumar Kumawat

This figure shows the co-authorship network connecting the top 25 collaborators of Ashok Kumar Kumawat. A scholar is included among the top collaborators of Ashok Kumar Kumawat 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 Ashok Kumar Kumawat. Ashok Kumar Kumawat 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.
Kumawat, Ashok Kumar, et al.. (2024). Effects of ageing and frailty on circulating monocyte and dendritic cell subsets. PubMed. 10(1). 17–17. 11 indexed citations
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Zegeye, Mulugeta M., Jonas Andersson, Stefan Söderberg, et al.. (2023). Soluble LDL-receptor is induced by TNF-α and inhibits hepatocytic clearance of LDL-cholesterol. Journal of Molecular Medicine. 101(12). 1615–1626. 7 indexed citations
5.
Zegeye, Mulugeta M., Ljubica Matic, Mariette Lengquist, et al.. (2023). Interleukin-6 trans-signaling induced laminin switch contributes to reduced trans-endothelial migration of granulocytic cells. Atherosclerosis. 371. 41–53. 9 indexed citations
6.
Kumawat, Ashok Kumar, Mulugeta M. Zegeye, Geena Varghese Paramel, et al.. (2022). Inhibition of IL17A Using an Affibody Molecule Attenuates Inflammation in ApoE-Deficient Mice. Frontiers in Cardiovascular Medicine. 9. 831039–831039. 1 indexed citations
7.
Kumawat, Ashok Kumar, et al.. (2022). TMAO Suppresses Megalin Expression and Albumin Uptake in Human Proximal Tubular Cells Via PI3K and ERK Signaling. International Journal of Molecular Sciences. 23(16). 8856–8856. 9 indexed citations
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Kumawat, Ashok Kumar, et al.. (2021). The Fibrotic Effects of TMAO on Human Renal Fibroblasts Is Mediated by NLRP3, Caspase-1 and the PERK/Akt/mTOR Pathway. International Journal of Molecular Sciences. 22(21). 11864–11864. 51 indexed citations
10.
Dev, Nishanth, et al.. (2020). Association of high-sensitivity C-reactive protein (hs-CRP) with non-alcoholic fatty liver disease (NAFLD) in Asian Indians: A cross-sectional study. SHILAP Revista de lepidopterología. 9(1). 390–390. 40 indexed citations
11.
Dev, Nishanth, et al.. (2019). Acute flaccid myelitis caused by Japanese encephalitis virus: A rare association. Annals of Indian Academy of Neurology. 23(2). 237–237. 2 indexed citations
12.
Zegeye, Mulugeta M., Madelene Lindkvist, Knut Fälker, et al.. (2018). Activation of the JAK/STAT3 and PI3K/AKT pathways are crucial for IL-6 trans-signaling-mediated pro-inflammatory response in human vascular endothelial cells. Cell Communication and Signaling. 16(1). 55–55. 257 indexed citations
13.
Kumawat, Ashok Kumar, et al.. (2015). Fecal stream diversion and mucosal cytokine levels in collagenous colitis: A case report. World Journal of Gastroenterology. 21(19). 6065–6071. 20 indexed citations
14.
Kumawat, Ashok Kumar, Nils Nyhlin, Johan Bohr, et al.. (2015). Enhanced Levels of Chemokines and Their Receptors in the Colon of Microscopic Colitis Patients Indicate Mixed Immune Cell Recruitment. Mediators of Inflammation. 2015(1). 132458–132458. 31 indexed citations
15.
Sundin, Johanna, Ignacio Rangel, Ashok Kumar Kumawat, Elisabeth Hultgren Hörnquist, & Robert J. Brummer. (2014). Aberrant mucosal lymphocyte number and subsets in the colon of post-infectious irritable bowel syndrome patients. Scandinavian Journal of Gastroenterology. 49(9). 1068–1075. 48 indexed citations
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Kumawat, Ashok Kumar, Hilja Strid, Curt Tysk, Johan Bohr, & Elisabeth Hultgren Hörnquist. (2013). Microscopic colitis patients demonstrate a mixed Th17/Tc17 and Th1/Tc1 mucosal cytokine profile. Molecular Immunology. 55(3-4). 355–364. 58 indexed citations
18.
Nyhlin, Nils, Ashok Kumar Kumawat, Curt Tysk, et al.. (2013). IL-1/TLR signaling inhibitors in microscopic and ulcerative colitis : Immunopathogenic markers of active disease and remission. Immunology. 140. 167–167. 1 indexed citations
19.
Kumawat, Ashok Kumar, et al.. (2013). Immunohistochemical characterization of lymphocytes in microscopic colitis. Journal of Crohn s and Colitis. 7(10). e434–e442. 35 indexed citations
20.
Kumawat, Ashok Kumar, et al.. (2012). Interplay between Th1 and Th17 effector T-cell pathways in the pathogenesis of spontaneous colitis and colon cancer in the G i2-deficient mouse. International Immunology. 25(1). 35–44. 10 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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