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
-
- Cell death mechanisms and regulation 3
- RNA Research and Splicing 3
- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 2
-
- NF-κB Signaling Pathways 3
- Co-authors
- Mark Hannink (10 shared papers)R. Michael Roberts (4 shared papers)Toshihiko Ezashi (3 shared papers)H. Sieber (1 shared paper)Laurakay Bruhn (1 shared paper)Andrea Pichler (1 shared paper)Rudolf Grosschedl (1 shared paper)Frauke Melchior (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)PLoS ONE (1 paper)Biomedicines (1 paper)Stem Cells and Development (1 paper)
- Partner nations
- United StatesFranceIndia
In The Last Decade
Shrikesh Sachdev
18 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 1.2k
- Cancer Research 216
- Virology 56
- Immunology 193
- Genetics 239
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 | 453 | |
| 2 | 2009 | 366 | |
| 3 | 2011 | 128 | |
| 4 | 1998 | 128 | |
| 5 | 2008 | 99 | |
| 6 | 2000 | 57 | |
| 7 | 2010 | 53 | |
| 8 | 1998 | 40 | |
| 9 | 2022 | 39 | |
| 10 | 2010 | 23 | |
| 11 | 2007 | 21 | |
| 12 | 2005 | 16 | |
| 13 | 2023 | 14 | |
| 14 | 2012 | 12 | |
| 15 | 1997 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2018 | 4 | |
| 18 | 2022 | 3 |
About Shrikesh Sachdev
Shrikesh Sachdev is a scholar working on Molecular Biology, Cancer Research, Plant Science, Virology and Oncology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (3 papers), RNA Research and Splicing (3 papers), NF-κB Signaling Pathways (3 papers), Pluripotent Stem Cells Research (2 papers), Reproductive System and Pregnancy (2 papers), Poxvirus research and outbreaks (2 papers), Reproductive Biology and Fertility (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cancer Research (216 citations), Virology (56 citations), Immunology (193 citations) and Genetics (239 citations). Shrikesh Sachdev has collaborated with scholars based in United States, France and India. Frequent co-authors include Mark Hannink, R. Michael Roberts, Toshihiko Ezashi, H. Sieber, Laurakay Bruhn, Andrea Pichler, Rudolf Grosschedl, Frauke Melchior, Andrei P. Alexenko and Bhanu P. Telugu. Their work appears in journals such as Molecular and Cellular Biology, PROTEOMICS - CLINICAL APPLICATIONS, PLoS ONE, Biomedicines 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.