Sushma Medikayala

643 total citations
9 papers, 466 citations indexed

About

Sushma Medikayala is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sushma Medikayala has authored 9 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sushma Medikayala's work include Mitochondrial Function and Pathology (2 papers), Muscle Physiology and Disorders (2 papers) and S100 Proteins and Annexins (2 papers). Sushma Medikayala is often cited by papers focused on Mitochondrial Function and Pathology (2 papers), Muscle Physiology and Disorders (2 papers) and S100 Proteins and Annexins (2 papers). Sushma Medikayala collaborates with scholars based in United States, France and United Kingdom. Sushma Medikayala's co-authors include Aurélia Defour, Jyoti K. Jaiswal, Nimisha Sharma, Kristy J. Brown, Luana Scheffer, Sen Chandra Sreetama, John G. Edwards, Michael S. Wolin, Pawel M. Kaminski and Zhao Xiangmin and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of the American Society of Nephrology.

In The Last Decade

Sushma Medikayala

8 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sushma Medikayala United States	6	316	143	108	59	45	9	466
Hiroyuki Tabata Japan	12	203 0.6×	69 0.5×	39 0.4×	53 0.9×	38 0.8×	36	386
Kimber Converso‐Baran United States	8	144 0.5×	121 0.8×	74 0.7×	65 1.1×	44 1.0×	14	368
Huashan Wang United States	14	225 0.7×	118 0.8×	71 0.7×	43 0.7×	40 0.9×	25	531
Allison Ho United States	9	371 1.2×	89 0.6×	38 0.4×	112 1.9×	14 0.3×	11	586
Kazue Tsugawa Japan	7	217 0.7×	129 0.9×	55 0.5×	51 0.9×	20 0.4×	9	367
Edith Gomez United Kingdom	15	478 1.5×	181 1.3×	137 1.3×	56 0.9×	13 0.3×	20	831
Toshinori Nishigaki Japan	13	194 0.6×	74 0.5×	235 2.2×	82 1.4×	42 0.9×	25	534
Maysoon Salih Canada	16	402 1.3×	132 0.9×	38 0.4×	39 0.7×	116 2.6×	28	526
Risa Mukai Japan	12	349 1.1×	136 1.0×	71 0.7×	239 4.1×	77 1.7×	20	617

Countries citing papers authored by Sushma Medikayala

Since Specialization

Citations

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

Fields of papers citing papers by Sushma Medikayala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushma Medikayala

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

All Works

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9 of 9 papers shown

Medikayala, Sushma, et al.. (2022). Ketogenic-Diet Shake Containing <b><i>Uncaria tomentosa</i></b>-Associated Acute Interstitial Nephritis. Case Reports in Nephrology and Dialysis. 12(3). 219–225. 2 indexed citations

Medikayala, Sushma, et al.. (2021). Rifampin-Induced Hemolysis Resulting in Pigment Nephropathy. Journal of the American Society of Nephrology. 32(10S). 148–148.

Medikayala, Sushma, et al.. (2021). Leukocytosis and Spurious Hypoxemia. Cureus. 13(6). e15942–e15942. 2 indexed citations

Bittel, Daniel C., Goutam Chandra, Arun B. Deora, et al.. (2020). Annexin A2 Mediates Dysferlin Accumulation and Muscle Cell Membrane Repair. Cells. 9(9). 1919–1919. 37 indexed citations

Defour, Aurélia, Sushma Medikayala, Jan van der Meulen, et al.. (2017). Annexin A2 links poor myofiber repair with inflammation and adipogenic replacement of the injured muscle. Human Molecular Genetics. 26(11). 1979–1991. 49 indexed citations

Scheffer, Luana, Sen Chandra Sreetama, Nimisha Sharma, et al.. (2014). Mechanism of Ca2+-triggered ESCRT assembly and regulation of cell membrane repair. Nature Communications. 5(1). 5646–5646. 253 indexed citations

Sharma, Nimisha, Sushma Medikayala, Aurélia Defour, et al.. (2012). Use of Quantitative Membrane Proteomics Identifies a Novel Role of Mitochondria in Healing Injured Muscles. Journal of Biological Chemistry. 287(36). 30455–30467. 45 indexed citations

Medikayala, Sushma, et al.. (2010). Chronically elevated glucose compromises myocardial mitochondrial DNA integrity by alteration of mitochondrial topoisomerase function. American Journal of Physiology-Cell Physiology. 300(2). C338–C348. 28 indexed citations

Grijalva, James, Steven D. Hicks, Zhao Xiangmin, et al.. (2008). Exercise training enhanced myocardial endothelial nitric oxide synthase (eNOS) function in diabetic Goto-Kakizaki (GK) rats. Cardiovascular Diabetology. 7(1). 34–34. 50 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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