Harshida Bhatt
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 3
- Reproductive Medicine top 0.5%
- Immunology top 1%
- Reproductive System and Pregnancy 2
- Obstetrics and Gynecology top 1%
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 2
- Nuclear Structure and Function 1
- Genomics and Chromatin Dynamics 1
- CRISPR and Genetic Engineering 1
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- Selenium in Biological Systems 1
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- Biomedical Ethics and Regulation 1
- Co-authors
- Colin L. StewartLisa J. BrunetInder GadiPetr KašparFrank KöntgenSusan J. AbbondanzoEdward M. HedgecockMiriam R. Anver
- Cited by
- AgingReproductive MedicineImmunology
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Harshida Bhatt
9 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Aging 257
- Reproductive Medicine 957
- Immunology 1.7k
- Obstetrics and Gynecology 444
- Molecular Biology 2.2k
Countries citing papers authored by Harshida Bhatt
This map shows the geographic impact of Harshida Bhatt'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 Harshida Bhatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harshida Bhatt more than expected).
Fields of papers citing papers by Harshida Bhatt
This network shows the impact of papers produced by Harshida Bhatt. 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 Harshida Bhatt. The network helps show where Harshida Bhatt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Harshida Bhatt, 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 | 1999 | 118 | |
| 2 | Loss of a-Type Lamin Expression Compromises Nuclear Envelope Integrity Leading to Muscular Dystrophybreakdown → | 1999 | 1009 |
| 3 | 1996 | 295 | |
| 4 | 1994 | 174 | |
| 5 | 1994 | 487 | |
| 6 | Blastocyst implantation depends on maternal expression of leukaemia inhibitory factorbreakdown → | 1992 | 1647 |
| 7 | 1991 | 436 | |
| 8 | 1991 | 25 | |
| 9 | 1978 | 5 |
About Harshida Bhatt
Harshida Bhatt is a scholar working on Aging, Endocrine and Autonomic Systems, Immunology, Physical and Theoretical Chemistry and Genetics, having authored 9 papers that have together received 4.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Pluripotent Stem Cells Research (2 papers), Reproductive System and Pregnancy (2 papers), Nuclear Structure and Function (1 paper), Genomics and Chromatin Dynamics (1 paper), Selenium in Biological Systems (1 paper), Biomedical Ethics and Regulation (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Aging (257 citations), Reproductive Medicine (957 citations), Immunology (1.7k citations), Obstetrics and Gynecology (444 citations) and Molecular Biology (2.2k citations). Harshida Bhatt has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Colin L. Stewart, Lisa J. Brunet, Inder Gadi, Petr Kašpar, Frank Köntgen, Susan J. Abbondanzo, Edward M. Hedgecock, Miriam R. Anver, Diana Escalante‐Alcalde and Narayan Bhat. Their work appears in journals such as The Journal of Cell Biology, Developmental Biology, Nature, Neuron and Proceedings of the National Academy of Sciences.
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.