Shrikesh Sachdev

1.8k total citations
18 papers, 1.5k citations indexed

About

Shrikesh Sachdev is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Shrikesh Sachdev has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Shrikesh Sachdev's work include Cell death mechanisms and regulation (3 papers), RNA Research and Splicing (3 papers) and NF-κB Signaling Pathways (3 papers). Shrikesh Sachdev is often cited by papers focused on Cell death mechanisms and regulation (3 papers), RNA Research and Splicing (3 papers) and NF-κB Signaling Pathways (3 papers). Shrikesh Sachdev collaborates with scholars based in United States, Sweden and India. Shrikesh Sachdev's co-authors include Mark Hannink, R. Michael Roberts, Toshihiko Ezashi, Laurakay Bruhn, Rudolf Grosschedl, Frauke Melchior, Andrea Pichler, H. Sieber, Sunilima Sinha and Bhanu P. Telugu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and PLoS ONE.

In The Last Decade

Shrikesh Sachdev

18 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shrikesh Sachdev United States 13 1.2k 245 227 218 201 18 1.5k
David Lapointe United States 16 1.3k 1.1× 235 1.0× 192 0.8× 203 0.9× 172 0.9× 27 1.8k
Rebecca H. Herbst United States 9 1.4k 1.1× 173 0.7× 381 1.7× 275 1.3× 417 2.1× 11 1.9k
Uwe Werling United States 13 1.2k 1.0× 335 1.4× 161 0.7× 136 0.6× 137 0.7× 16 1.5k
Marti F.A. Bierhuizen Netherlands 23 1.4k 1.1× 274 1.1× 208 0.9× 128 0.6× 352 1.8× 39 1.7k
Jonathan W. Snow United States 19 1.1k 0.9× 308 1.3× 336 1.5× 358 1.6× 465 2.3× 42 2.0k
Shinji Kondo Japan 19 1.5k 1.2× 390 1.6× 362 1.6× 162 0.7× 127 0.6× 41 1.9k
Ewa P. Malc United States 20 1.5k 1.2× 299 1.2× 507 2.2× 199 0.9× 86 0.4× 28 1.8k
Srividya Swaminathan United States 17 1.1k 0.9× 361 1.5× 149 0.7× 364 1.7× 323 1.6× 42 1.6k
Frank Czauderna Germany 12 1.1k 0.9× 343 1.4× 282 1.2× 101 0.5× 85 0.4× 15 1.3k
Jérôme Artus France 20 1.9k 1.6× 250 1.0× 91 0.4× 226 1.0× 120 0.6× 29 2.1k

Countries citing papers authored by Shrikesh Sachdev

Since Specialization
Citations

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

Fields of papers citing papers by Shrikesh Sachdev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shrikesh Sachdev

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

All Works

18 of 18 papers shown
1.
Byrareddy, Siddappa N., Kalicharan Sharma, Shrikesh Sachdev, et al.. (2023). Potential therapeutic targets for Mpox: the evidence to date. Expert Opinion on Therapeutic Targets. 27(6). 419–431. 7 indexed citations
2.
Seetharam, Arun S., Shrikesh Sachdev, Nathan J. Bivens, et al.. (2023). Extracellular vesicles from mouse trophoblast cells: Effects on neural progenitor cells and potential participants in the placenta–brain axis. Biology of Reproduction. 110(2). 310–328. 10 indexed citations
3.
Spratt, Austin N., Saathvik R. Kannan, Kalicharan Sharma, et al.. (2022). Continued Complexity of Mutations in Omicron Sublineages. Biomedicines. 10(10). 2593–2593. 3 indexed citations
4.
Kannan, Saathvik R., et al.. (2022). Mutations in the monkeypox virus replication complex: Potential contributing factors to the 2022 outbreak. Journal of Autoimmunity. 133. 102928–102928. 38 indexed citations
5.
Shanbhag, Vinit, Shrikesh Sachdev, J. Flores, Mukund J. Modak, & Kamalendra Singh. (2018). Family A and B DNA Polymerases in Cancer: Opportunities for Therapeutic Interventions. Biology. 7(1). 5–5. 4 indexed citations
6.
Sachdev, Shrikesh, Trupti Joshi, Doris K. Wu, et al.. (2012). Elongation Factor 1 alpha1 and Genes Associated with Usher Syndromes Are Downstream Targets of GBX2. PLoS ONE. 7(11). e47366–e47366. 12 indexed citations
7.
Roberts, D. R., Ullas V. Pedmale, Shrikesh Sachdev, et al.. (2011). Modulation of Phototropic Responsiveness in Arabidopsis through Ubiquitination of Phototropin 1 by the CUL3-Ring E3 Ubiquitin Ligase CRL3NPH3 . The Plant Cell. 23(10). 3627–3640. 123 indexed citations
8.
Powell, Michael D., Gaurishankar Manandhar, Lee D. Spate, et al.. (2010). Discovery of putative oocyte quality markers by comparative ExacTag proteomics. PROTEOMICS - CLINICAL APPLICATIONS. 4(3). 337–351. 23 indexed citations
9.
Çırak, Sebahattin, Florian von Deimling, Shrikesh Sachdev, et al.. (2010). Kelch-like homologue 9 mutation is associated with an early onset autosomal dominant distal myopathy. Brain. 133(7). 2123–2135. 51 indexed citations
10.
Ezashi, Toshihiko, Bhanu P. Telugu, Andrei P. Alexenko, et al.. (2009). Derivation of induced pluripotent stem cells from pig somatic cells. Proceedings of the National Academy of Sciences. 106(27). 10993–10998. 363 indexed citations
11.
Westfall, Suzanne D., Shrikesh Sachdev, Padmalaya Das, et al.. (2008). Identification of Oxygen-Sensitive Transcriptional Programs in Human Embryonic Stem Cells. Stem Cells and Development. 17(5). 869–882. 99 indexed citations
12.
Srinivasan, Rajini, Sung‐Wook Jang, R. Matthew Ward, et al.. (2007). Differential regulation of NAB corepressor genes in Schwann cells. BMC Molecular Biology. 8(1). 117–117. 21 indexed citations
13.
Ghosh, Debjani, Shrikesh Sachdev, Mark Hannink, & R. Michael Roberts. (2005). Coordinate Regulation of Basal and Cyclic 5′-Adenosine Monophosphate (cAMP)-Activated Expression of Human Chorionic Gonadotropin-α by Ets-2 and cAMP-Responsive Element Binding Protein. Molecular Endocrinology. 19(4). 1049–1066. 16 indexed citations
14.
Sachdev, Shrikesh, Laurakay Bruhn, H. Sieber, et al.. (2001). PIASy, a nuclear matrix–associated SUMO E3 ligase, represses LEF1 activity by sequestration into nuclear bodies. Genes & Development. 15(23). 3088–3103. 452 indexed citations
15.
Sachdev, Shrikesh, et al.. (2000). Nuclear Import of IκBα Is Accomplished by a Ran-Independent Transport Pathway. Molecular and Cellular Biology. 20(5). 1571–1582. 57 indexed citations
16.
Sachdev, Shrikesh & Mark Hannink. (1998). Loss of IκBα-Mediated Control over Nuclear Import and DNA Binding Enables Oncogenic Activation of c-Rel. Molecular and Cellular Biology. 18(9). 5445–5456. 40 indexed citations
17.
Sachdev, Shrikesh, Alexander Hoffmann, & Mark Hannink. (1998). Nuclear Localization of IκBα Is Mediated by the Second Ankyrin Repeat: the IκBα Ankyrin Repeats Define a Novel Class of cis-Acting Nuclear Import Sequences. Molecular and Cellular Biology. 18(5). 2524–2534. 128 indexed citations
18.
Sachdev, Shrikesh, et al.. (1997). A threshold nuclear level of the v-Rel oncoprotein is required for transformation of avian lymphocytes. Oncogene. 14(21). 2585–2594. 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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