Simon Gross

580 total citations
8 papers, 512 citations indexed

About

Simon Gross is a scholar working on Nephrology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Simon Gross has authored 8 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 4 papers in Oncology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Simon Gross's work include Renal Diseases and Glomerulopathies (4 papers), Diabetes Treatment and Management (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). Simon Gross is often cited by papers focused on Renal Diseases and Glomerulopathies (4 papers), Diabetes Treatment and Management (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). Simon Gross collaborates with scholars based in Australia, Germany and United States. Simon Gross's co-authors include Carol A. Pollock, Muralikrishna Gangadharan Komala, Usha Panchapakesan, Harshini Mudaliar, Amanda Mather, Josephine M. Forbes, Amgad Zaky, Harry G. Preuss, S.J. Stohs and Debasis Bagchi and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and American Journal of Physiology-Renal Physiology.

In The Last Decade

Simon Gross

8 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Gross Australia 7 293 157 152 136 57 8 512
J.L. Paul France 11 135 0.5× 113 0.7× 93 0.6× 182 1.3× 33 0.6× 18 570
Brijesh Sutariya India 13 119 0.4× 165 1.1× 99 0.7× 73 0.5× 23 0.4× 21 475
Daniela Lucchesi Italy 13 186 0.6× 125 0.8× 183 1.2× 79 0.6× 25 0.4× 37 659
Amir Ghorbani Haghjo Iran 12 151 0.5× 157 1.0× 99 0.7× 66 0.5× 23 0.4× 17 532
Tomomi Ishihara Japan 10 368 1.3× 362 2.3× 43 0.3× 231 1.7× 61 1.1× 13 726
Ying Wong Hong Kong 16 197 0.7× 143 0.9× 41 0.3× 167 1.2× 46 0.8× 23 598
Gema Marín‐Royo Spain 8 132 0.5× 176 1.1× 80 0.5× 71 0.5× 18 0.3× 11 520
Yu Ning Liu China 9 156 0.5× 83 0.5× 86 0.6× 44 0.3× 81 1.4× 11 365
Shohei Matsuno Japan 11 123 0.4× 88 0.6× 49 0.3× 105 0.8× 55 1.0× 24 484
Ursula Schmid Germany 12 97 0.3× 173 1.1× 39 0.3× 55 0.4× 28 0.5× 15 532

Countries citing papers authored by Simon Gross

Since Specialization
Citations

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

Fields of papers citing papers by Simon Gross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Gross

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

All Works

8 of 8 papers shown
1.
Gross, Simon, Lusine Danielyan, Christa Buechler, et al.. (2024). Hepatic Amyloid Beta-42-Metabolizing Proteins in Liver Steatosis and Metabolic Dysfunction-Associated Steatohepatitis. International Journal of Molecular Sciences. 25(16). 8768–8768. 1 indexed citations
2.
Zhang, Jie, Muh Geot Wong, May Wong, et al.. (2015). A Cationic-Independent Mannose 6-Phosphate Receptor Inhibitor (PXS64) Ameliorates Kidney Fibrosis by Inhibiting Activation of Transforming Growth Factor-β1. PLoS ONE. 10(2). e0116888–e0116888. 19 indexed citations
3.
Komala, Muralikrishna Gangadharan, Simon Gross, Amgad Zaky, Carol A. Pollock, & Usha Panchapakesan. (2015). Linagliptin Limits High Glucose Induced Conversion of Latent to Active TGFß through Interaction with CIM6PR and Limits Renal Tubulointerstitial Fibronectin. PLoS ONE. 10(10). e0141143–e0141143. 23 indexed citations
4.
Komala, Muralikrishna Gangadharan, Simon Gross, Amgad Zaky, Carol A. Pollock, & Usha Panchapakesan. (2015). Saxagliptin reduces renal tubulointerstitial inflammation, hypertrophy and fibrosis in diabetes. Nephrology. 21(5). 423–431. 62 indexed citations
5.
Komala, Muralikrishna Gangadharan, Simon Gross, Harshini Mudaliar, et al.. (2014). Inhibition of Kidney Proximal Tubular Glucose Reabsorption Does Not Prevent against Diabetic Nephropathy in Type 1 Diabetic eNOS Knockout Mice. PLoS ONE. 9(11). e108994–e108994. 62 indexed citations
6.
Wong, May, Sonia Saad, Jie Zhang, et al.. (2014). Semicarbazide-sensitive amine oxidase (SSAO) inhibition ameliorates kidney fibrosis in a unilateral ureteral obstruction murine model. American Journal of Physiology-Renal Physiology. 307(8). F908–F916. 18 indexed citations
7.
Panchapakesan, Usha, Simon Gross, Muralikrishna Gangadharan Komala, et al.. (2013). Effects of SGLT2 Inhibition in Human Kidney Proximal Tubular Cells—Renoprotection in Diabetic Nephropathy?. PLoS ONE. 8(2). e54442–e54442. 241 indexed citations
8.
Ray, Susan M., Debasis Bagchi, Manashi Bagchi, et al.. (2002). Acute and long-term safety evaluation of a novel IH636 grape seed proanthocyanidin extract.. PubMed. 109(3-4). 165–97. 86 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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