Shefali Talwar
Impact in
- Clinical Biochemistry top 0.5%
- Advanced Glycation End Products research
- Immunology top 10%
- Immune Response and Inflammation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
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- RNA Research and Splicing 7
- Genomics and Chromatin Dynamics 5
- Nuclear Structure and Function 4
- Heme Oxygenase-1 and Carbon Monoxide 2
- Protein Kinase Regulation and GTPase Signaling 1
- Epigenetics and DNA Methylation 1
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- Cellular Mechanics and Interactions 3
- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- James H. Shelhamer (3 shared papers)Anthony F. Suffredini (3 shared papers)Margaret Tropea (2 shared papers)Carmen Fiuza (2 shared papers)Michael Bustin (1 shared paper)Eric Gerstenberger (1 shared paper)G. V. Shivashankar (6 shared papers)Robert L. Danner (2 shared papers)
- Journals
- Blood (2 papers)Biophysical Journal (2 papers)Methods (1 paper)Cell Reports (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Shefali Talwar
12 papers receiving 1.2k citations
Shefali Talwar's Hit Papers
Peers
Comparison fields: 5 of 99
- Clinical Biochemistry 385
- Immunology 294
- Genetics 124
- Cell Biology 162
- Hematology 82
Countries citing papers authored by Shefali Talwar
This map shows the geographic impact of Shefali Talwar'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 Shefali Talwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shefali Talwar more than expected).
Fields of papers citing papers by Shefali Talwar
This network shows the impact of papers produced by Shefali Talwar. 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 Shefali Talwar. The network helps show where Shefali Talwar may publish in the future.
Co-authors
The 25 scholars most cited alongside Shefali Talwar, 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 | Inflammation-promoting activity of HMGB1 on human microvascular endothelial cells Hit paper breakdown → | 2003 | 652 |
| 2 | 2004 | 177 | |
| 3 | 2006 | 101 | |
| 4 | 2009 | 91 | |
| 5 | 2013 | 63 | |
| 6 | 2017 | 59 | |
| 7 | 2014 | 33 | |
| 8 | 2021 | 22 | |
| 9 | 2012 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2010 | 6 | |
| 12 | 2017 | 1 |
About Shefali Talwar
Shefali Talwar is a scholar working on Molecular Biology, Cell Biology, Genetics, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Genomics and Chromatin Dynamics (5 papers), Nuclear Structure and Function (4 papers), Cellular Mechanics and Interactions (3 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Clinical Biochemistry (385 citations), Immunology (294 citations), Genetics (124 citations), Cell Biology (162 citations) and Hematology (82 citations). Shefali Talwar has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include James H. Shelhamer, Anthony F. Suffredini, Margaret Tropea, Carmen Fiuza, Michael Bustin, Eric Gerstenberger, G. V. Shivashankar, Robert L. Danner, Carolea Logun and Jennifer J. Barb. Their work appears in journals such as Blood, Biophysical Journal, Methods, Cell Reports and PLoS ONE.
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.