Manu Shivakumar
Impact in
- Obstetrics and Gynecology top 10%
- Gestational Diabetes Research and Management
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- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 4
- Bioinformatics and Genomic Networks 4
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Gene expression and cancer classification 2
- Genetics 10
- Genetic Associations and Epidemiology 8
- Co-authors
- Dokyoon Kim (35 shared papers)Younghee Lee (6 shared papers)Sang‐Hyuk Jung (13 shared papers)Eun Kyung Choe (11 shared papers)Tullika Garg (3 shared papers)Kyung-Ah Sohn (2 shared papers)Jae‐Seung Yun (7 shared papers)Jason E. Miller (7 shared papers)
- Journals
- BMC Medical Genomics (4 papers)BMC Medicine (2 papers)Cancers (2 papers)Alzheimer s & Dementia (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Manu Shivakumar
46 papers receiving 505 citations
Peers
Comparison fields: 5 of 86
- Obstetrics and Gynecology 41
- Cancer Research 72
- Molecular Biology 177
- Genetics 61
- Sensory Systems 10
Countries citing papers authored by Manu Shivakumar
This map shows the geographic impact of Manu Shivakumar'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 Manu Shivakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manu Shivakumar more than expected).
Fields of papers citing papers by Manu Shivakumar
This network shows the impact of papers produced by Manu Shivakumar. 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 Manu Shivakumar. The network helps show where Manu Shivakumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Manu Shivakumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 52 | |
| 2 | 2018 | 46 | |
| 3 | 2022 | 42 | |
| 4 | 2024 | 41 | |
| 5 | 2022 | 28 | |
| 6 | 2022 | 27 | |
| 7 | 2018 | 26 | |
| 8 | 2022 | 19 | |
| 9 | 2017 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2019 | 16 | |
| 12 | 2017 | 14 | |
| 13 | 2019 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2017 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2018 | 8 |
About Manu Shivakumar
Manu Shivakumar is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 49 papers that have together received 513 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Epigenetics and DNA Methylation (4 papers), Bioinformatics and Genomic Networks (4 papers), RNA modifications and cancer (4 papers), Gestational Diabetes Research and Management (3 papers), RNA Research and Splicing (3 papers), Neonatal Respiratory Health Research (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Obstetrics and Gynecology (41 citations), Cancer Research (72 citations), Molecular Biology (177 citations), Genetics (61 citations) and Sensory Systems (10 citations). Manu Shivakumar has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Dokyoon Kim, Younghee Lee, Sang‐Hyuk Jung, Eun Kyung Choe, Tullika Garg, Kyung-Ah Sohn, Jae‐Seung Yun, Jason E. Miller, Vasant Honavar and Yasser EL‐Manzalawy. Their work appears in journals such as BMC Medical Genomics, BMC Medicine, Cancers, Alzheimer s & Dementia and Nature Communications.
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.