Shrikesh Sachdev
Impact in
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
- Cancer Research top 10%
- NF-κB Signaling Pathways
Papers in
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- RNA Research and Splicing 3
- Cell death mechanisms and regulation 3
- CRISPR and Genetic Engineering 2
- Pluripotent Stem Cells Research 2
-
- NF-κB Signaling Pathways 3
- Co-authors
- Mark Hannink (10 shared papers)R. Michael Roberts (4 shared papers)Toshihiko Ezashi (3 shared papers)Frauke Melchior (1 shared paper)Rudolf Grosschedl (1 shared paper)Laurakay Bruhn (1 shared paper)H. Sieber (1 shared paper)Andrea Pichler (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Journal of Autoimmunity (1 paper)Expert Opinion on Therapeutic Targets (1 paper)Brain (1 paper)Stem Cells and Development (1 paper)
- Partner nations
- United StatesSwedenIndia
In The Last Decade
Shrikesh Sachdev
18 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.2k
- Cancer Research 227
- Virology 53
- Immunology 201
- Genetics 245
Countries citing papers authored by Shrikesh Sachdev
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
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-authors
The 25 scholars most cited alongside Shrikesh Sachdev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 452 | |
| 2 | 2009 | 363 | |
| 3 | 1998 | 128 | |
| 4 | 2011 | 123 | |
| 5 | 2008 | 99 | |
| 6 | 2000 | 57 | |
| 7 | 2010 | 51 | |
| 8 | 1998 | 40 | |
| 9 | 2022 | 38 | |
| 10 | 2010 | 23 | |
| 11 | 2007 | 21 | |
| 12 | 2005 | 16 | |
| 13 | 2012 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 1997 | 10 | |
| 16 | 2023 | 7 | |
| 17 | 2018 | 4 | |
| 18 | 2022 | 3 |
About Shrikesh Sachdev
Shrikesh Sachdev is a scholar working on Molecular Biology, Cancer Research, Immunology, Plant Science and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Cell death mechanisms and regulation (3 papers), NF-κB Signaling Pathways (3 papers), Poxvirus research and outbreaks (2 papers), CRISPR and Genetic Engineering (2 papers), Reproductive System and Pregnancy (2 papers), Reproductive Biology and Fertility (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cancer Research (227 citations), Virology (53 citations), Immunology (201 citations) and Genetics (245 citations). Shrikesh Sachdev has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Mark Hannink, R. Michael Roberts, Toshihiko Ezashi, Frauke Melchior, Rudolf Grosschedl, Laurakay Bruhn, H. Sieber, Andrea Pichler, Andrei P. Alexenko and Bhanu P. Telugu. Their work appears in journals such as Molecular and Cellular Biology, Journal of Autoimmunity, Expert Opinion on Therapeutic Targets, Brain and Stem Cells and Development.
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.