Manasi Benurwar

969 total citations
9 papers, 753 citations indexed

About

Manasi Benurwar is a scholar working on Physiology, Molecular Biology and Immunology. According to data from OpenAlex, Manasi Benurwar has authored 9 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Manasi Benurwar's work include Alzheimer's disease research and treatments (4 papers), Reproductive System and Pregnancy (3 papers) and Cancer-related molecular mechanisms research (3 papers). Manasi Benurwar is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Reproductive System and Pregnancy (3 papers) and Cancer-related molecular mechanisms research (3 papers). Manasi Benurwar collaborates with scholars based in United Kingdom, Qatar and United States. Manasi Benurwar's co-authors include Sam Lismont, Bart De Strooper, Lucía Chávez‐Gutiérrez, Lutgarde Serneels, Harrie J. M. Gijsen, Jens Wiltfang, Eric Karran, Joost Schymkowitz, Frédéric Rousseau and Hermann Esselmann and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

Manasi Benurwar

9 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manasi Benurwar United Kingdom 9 505 347 170 119 107 9 753
Masaaki Hokama Japan 6 251 0.5× 336 1.0× 40 0.2× 33 0.3× 81 0.8× 9 599
Suzanne J. Randle United Kingdom 14 470 0.9× 639 1.8× 132 0.8× 77 0.6× 162 1.5× 20 1.1k
A.M. Gibson United Kingdom 16 323 0.6× 278 0.8× 72 0.4× 30 0.3× 220 2.1× 31 657
Amos C. Hung Taiwan 17 173 0.3× 327 0.9× 63 0.4× 34 0.3× 110 1.0× 33 749
Georges Lévesque Canada 18 778 1.5× 787 2.3× 204 1.2× 89 0.7× 233 2.2× 43 1.3k
Nikolay Pozdnyakov United States 14 347 0.7× 376 1.1× 182 1.1× 160 1.3× 148 1.4× 19 696
Kathleen M. Wood United States 13 310 0.6× 231 0.7× 267 1.6× 126 1.1× 124 1.2× 23 786
María Celeste Leal Argentina 14 321 0.6× 333 1.0× 55 0.3× 24 0.2× 151 1.4× 25 715
William B. Johnson United States 7 225 0.4× 522 1.5× 66 0.4× 26 0.2× 142 1.3× 8 815
Juliane Reiche Germany 8 379 0.8× 358 1.0× 59 0.3× 29 0.2× 130 1.2× 13 659

Countries citing papers authored by Manasi Benurwar

Since Specialization
Citations

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

Fields of papers citing papers by Manasi Benurwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manasi Benurwar

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

All Works

9 of 9 papers shown
1.
Butler, Alexandra E., Vimal Ramachandran, Thozhukat Sathyapalan, et al.. (2020). microRNA Expression in Women With and Without Polycystic Ovarian Syndrome Matched for Body Mass Index. Frontiers in Endocrinology. 11. 206–206. 22 indexed citations
2.
Butler, Alexandra E., Vimal Ramachandran, Rhiannon David, et al.. (2020). Increased MicroRNA Levels in Women With Polycystic Ovarian Syndrome but Without Insulin Resistance: A Pilot Prospective Study. Frontiers in Endocrinology. 11. 571357–571357. 19 indexed citations
3.
Atkin, Stephen L., Vimal Ramachandran, Noha A. Yousri, et al.. (2019). Changes in Blood microRNA Expression and Early Metabolic Responsiveness 21 Days Following Bariatric Surgery. Frontiers in Endocrinology. 9. 773–773. 36 indexed citations
4.
Butler, Alexandra E., Vimal Ramachandran, Shahina Hayat, et al.. (2019). Expression of microRNA in follicular fluid in women with and without PCOS. Scientific Reports. 9(1). 16306–16306. 65 indexed citations
5.
Pasquier, Jennifer, Vimal Ramachandran, Manasi Benurwar, et al.. (2018). Differentially Expressed Circulating microRNAs in the Development of Acute Diabetic Charcot Foot. Epigenomics. 10(10). 1267–1278. 10 indexed citations
6.
Szaruga, María, Sarah Veugelen, Manasi Benurwar, et al.. (2015). Qualitative changes in human γ-secretase underlie familial Alzheimer’s disease. The Journal of Experimental Medicine. 212(12). 2003–2013. 122 indexed citations
7.
Chávez‐Gutiérrez, Lucía, Lutgarde Serneels, Sam Lismont, et al.. (2014). Signature Amyloid beta Profiles Are Produced by Different gamma-Secretase Complexes. UCL Discovery (University College London). 19 indexed citations
8.
Chávez‐Gutiérrez, Lucía, Lutgarde Serneels, Sam Lismont, et al.. (2013). Signature Amyloid β Profiles Are Produced by Different γ-Secretase Complexes. Journal of Biological Chemistry. 289(7). 4346–4355. 65 indexed citations
9.
Chávez‐Gutiérrez, Lucía, Leen Bammens, Iryna Benilova, et al.. (2012). The mechanism of γ-Secretase dysfunction in familial Alzheimer disease. The EMBO Journal. 31(10). 2261–2274. 395 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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