Shirisha Nagotu

963 total citations
36 papers, 709 citations indexed

About

Shirisha Nagotu is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Shirisha Nagotu has authored 36 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Shirisha Nagotu's work include Peroxisome Proliferator-Activated Receptors (17 papers), Fungal and yeast genetics research (9 papers) and Mitochondrial Function and Pathology (8 papers). Shirisha Nagotu is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (17 papers), Fungal and yeast genetics research (9 papers) and Mitochondrial Function and Pathology (8 papers). Shirisha Nagotu collaborates with scholars based in India, Netherlands and Germany. Shirisha Nagotu's co-authors include Ida J. van der Klei, Marten Veenhuis, Arjen M. Krikken, Ralf Erdmann, Marleen Otzen, Markus Deckers, Klaas A. Sjollema, Kasinath Kuravi, Neha Joshi and Pawan Kumar Maurya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cell Science and Applied Microbiology and Biotechnology.

In The Last Decade

Shirisha Nagotu

35 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shirisha Nagotu India 14 575 82 82 75 48 36 709
Quan Zhong United States 14 648 1.1× 64 0.8× 119 1.5× 35 0.5× 55 1.1× 21 786
Anita M. Kram Netherlands 15 700 1.2× 98 1.2× 74 0.9× 57 0.8× 44 0.9× 19 788
Tina A. Schrader United Kingdom 9 553 1.0× 53 0.6× 140 1.7× 79 1.1× 45 0.9× 16 646
Yolanda Auchli Switzerland 11 376 0.7× 89 1.1× 53 0.6× 91 1.2× 46 1.0× 11 532
Maria A. Bauer Austria 12 432 0.8× 228 2.8× 67 0.8× 67 0.9× 48 1.0× 15 703
Mafalda Escobar‐Henriques Germany 16 919 1.6× 194 2.4× 173 2.1× 70 0.9× 58 1.2× 25 1.0k
Eric T. Christenson United States 10 421 0.7× 140 1.7× 138 1.7× 43 0.6× 19 0.4× 10 590
Tom Bender Switzerland 8 477 0.8× 63 0.8× 89 1.1× 59 0.8× 39 0.8× 8 573
Billy W. Newton United States 14 535 0.9× 124 1.5× 161 2.0× 95 1.3× 18 0.4× 21 777
Laetitia Cavellini France 11 479 0.8× 80 1.0× 114 1.4× 38 0.5× 52 1.1× 15 632

Countries citing papers authored by Shirisha Nagotu

Since Specialization
Citations

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

Fields of papers citing papers by Shirisha Nagotu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shirisha Nagotu

This figure shows the co-authorship network connecting the top 25 collaborators of Shirisha Nagotu. A scholar is included among the top collaborators of Shirisha Nagotu 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 Shirisha Nagotu. Shirisha Nagotu 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.
2.
Nagotu, Shirisha, et al.. (2023). Acyl CoA oxidase: from its expression, structure, folding, and import to its role in human health and disease. Molecular Genetics and Genomics. 298(6). 1247–1260. 9 indexed citations
3.
Nagotu, Shirisha, et al.. (2023). Mind the gap: Methods to study membrane contact sites. Experimental Cell Research. 431(1). 113756–113756. 2 indexed citations
4.
Nagotu, Shirisha, et al.. (2022). Peroxisome biogenesis and inter-organelle communication: an indispensable role for Pex11 and Pex30 family proteins in yeast. Current Genetics. 68(5-6). 537–550. 3 indexed citations
5.
Joshi, Neha, et al.. (2021). Protein Production and Purification of a Codon-Optimized Human NGN3 Transcription Factor from E. coli. The Protein Journal. 40(6). 891–906. 2 indexed citations
6.
Nagotu, Shirisha, et al.. (2021). Mitochondrial dynamics and its impact on human health and diseases: inside the DRP1 blackbox. Journal of Molecular Medicine. 100(1). 1–21. 27 indexed citations
7.
Yadav, Jyoti, et al.. (2021). Contribution of yeast models to virus research. Applied Microbiology and Biotechnology. 105(12). 4855–4878. 11 indexed citations
8.
Kumar, Sachin, et al.. (2021). Characterization of nucleocapsid and matrix proteins of Newcastle disease virus in yeast. 3 Biotech. 11(2). 65–65. 3 indexed citations
9.
Ahmad, Basir, et al.. (2020). Effect of tetracycline family of antibiotics on actin aggregation, resulting in the formation of Hirano bodies responsible for neuropathological disorders. Journal of Biomolecular Structure and Dynamics. 39(1). 236–253. 12 indexed citations
10.
Gogoi, Ranadeep, et al.. (2020). Soluble expression, purification, and secondary structure determination of human PDX1 transcription factor. Protein Expression and Purification. 180. 105807–105807. 9 indexed citations
11.
Kumar, Sachin, et al.. (2018). Organelle dynamics and viral infections: at cross roads. Microbes and Infection. 21(1). 20–32. 38 indexed citations
12.
Chatterjee, Sunanda, et al.. (2018). Uptake and intracellular fate of nona‐arginine peptide in yeast. Peptide Science. 111(4). 2 indexed citations
13.
Maurya, Pawan Kumar, et al.. (2018). Peroxisomes: role in cellular ageing and age related disorders. Biogerontology. 19(5). 303–324. 38 indexed citations
14.
Nagotu, Shirisha, et al.. (2017). Versatility of peroxisomes: An evolving concept. Tissue and Cell. 49(2). 209–226. 26 indexed citations
15.
Maurya, Pawan Kumar, Prabhanshu Kumar, Shirisha Nagotu, Subhash Chand, & Pranjal Chandra. (2016). Multi-target detection of oxidative stress biomarkers in quercetin and myricetin treated human red blood cells. RSC Advances. 6(58). 53195–53202. 16 indexed citations
16.
Nagotu, Shirisha, et al.. (2012). Molecular basis of peroxisomal biogenesis disorders caused by defects in peroxisomal matrix protein import. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1822(9). 1326–1336. 28 indexed citations
17.
Veenhuis, Marten, et al.. (2011). Peroxisome Fission is Associated with Reorganization of Specific Membrane Proteins. Traffic. 12(7). 925–937. 41 indexed citations
18.
Nagotu, Shirisha, Arjen M. Krikken, Marleen Otzen, et al.. (2008). Peroxisome Fission in Hansenula polymorpha Requires Mdv1 and Fis1, Two Proteins Also Involved in Mitochondrial Fission. Traffic. 9(9). 1471–1484. 38 indexed citations
19.
Nagotu, Shirisha, et al.. (2007). Peroxisome proliferation in Hansenula polymorpha requires Dnm1p which mediates fission but not de novo formation. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1783(5). 760–769. 72 indexed citations
20.
Otzen, Marleen, et al.. (2006). In the yeastHansenula polymorpha, peroxisome formation from the ER is independent of Pex19p, but involves the function of p24 proteins. FEMS Yeast Research. 6(8). 1157–1166. 22 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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