Indrajit Nanda
- Physiology top 0.2%
- Genetics top 0.5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 23
- Animal Genetics and Reproduction 13
- Genetic diversity and population structure 7
- Genetic Syndromes and Imprinting 6
- Genetics and Neurodevelopmental Disorders 6
- Sensory Systems top 2%
- Reproductive Medicine top 2%
- Plant Science top 2%
- Chromosomal and Genetic Variations 24
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- Epigenetics and DNA Methylation 11
- Genomics and Chromatin Dynamics 6
- Co-authors
- Michael SchmidManfred SchartlThomas HaafMariko KondoUte HornungNobuyoshi ShimizuShuichi AsakawaAkihiro Shima
- Cited by
- PhysiologyGeneticsSensory Systems
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Indrajit Nanda
74 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Physiology 681
- Genetics 2.4k
- Sensory Systems 217
- Reproductive Medicine 324
- Plant Science 961
Countries citing papers authored by Indrajit Nanda
This map shows the geographic impact of Indrajit Nanda'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 Indrajit Nanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indrajit Nanda more than expected).
Fields of papers citing papers by Indrajit Nanda
This network shows the impact of papers produced by Indrajit Nanda. 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 Indrajit Nanda. The network helps show where Indrajit Nanda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Indrajit Nanda, 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 | 2023 | 4 | |
| 2 | 2022 | 15 | |
| 3 | 2022 | 12 | |
| 4 | 2019 | 16 | |
| 5 | 2019 | 26 | |
| 6 | 2017 | 85 | |
| 7 | 2016 | 17 | |
| 8 | 2015 | 2 | |
| 9 | 2015 | 75 | |
| 10 | 2015 | 100 | |
| 11 | 2014 | 39 | |
| 12 | 2005 | 24 | |
| 13 | 2004 | 7 | |
| 14 | 2003 | 109 | |
| 15 | 2003 | 42 | |
| 16 | 2000 | 14 | |
| 17 | 1998 | 25 | |
| 18 | 1997 | 15 | |
| 19 | 1995 | 152 | |
| 20 | 1992 | 64 |
About Indrajit Nanda
Indrajit Nanda is a scholar working on Genetics, Physiology, Sensory Systems, Plant Science and Molecular Biology, having authored 75 papers that have together received 3.6k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (24 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (23 papers), Animal Genetics and Reproduction (13 papers), Epigenetics and DNA Methylation (11 papers), Genetic diversity and population structure (7 papers), Genetic Syndromes and Imprinting (6 papers), Genomics and Chromatin Dynamics (6 papers) and Genetics and Neurodevelopmental Disorders (6 papers). The work is most often cited by research in Physiology (681 citations), Genetics (2.4k citations), Sensory Systems (217 citations), Reproductive Medicine (324 citations) and Plant Science (961 citations). Indrajit Nanda has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Michael Schmid, Manfred Schartl, Thomas Haaf, Mariko Kondo, Ute Hornung, Nobuyoshi Shimizu, Shuichi Asakawa, Akihiro Shima, Jörg T. Epplen and Atsushi Shimizu. Their work appears in journals such as Chromosoma, Cells, Genetics, Gene and Current Biology.
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.