Manu Shivakumar

1.6k citations
49 papers · 478 · h-index 12

Impact in

Papers in

    • Bioinformatics and Genomic Networks 8
    • RNA modifications and cancer 6
    • RNA Research and Splicing 5
    • Epigenetics and DNA Methylation 5
    • Genetic Associations and Epidemiology 11

Manu Shivakumar

45 papers receiving 469 citations

Peers

Manu Shivakumar
Comparison fields: 5 of 93
  • Cancer Research 93
  • Obstetrics and Gynecology 41
  • Endocrine and Autonomic Systems 31
  • Molecular Biology 206
  • Genetics 74
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Snježana Kaštelan Croatia
Carlos Vargas Colombia
Snehal Patil United States
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Citations per field
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Citations per year

Countries citing papers authored by Manu Shivakumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Manu Shivakumar Line = papers co-authored together Manu Shivakumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201752
2 201846
3 202237
4 202429
5 202227
6 201825
7 202225
8 201719
9 201817
10 201916
11 202216
12 201714
13 201911
14 202010
15 201810
16 201710
17 20219
18 20228
19 20228
20 20188

About Manu Shivakumar

Manu Shivakumar is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Cancer Research, having authored 49 papers that have together received 478 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Bioinformatics and Genomic Networks (8 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers), Gestational Diabetes Research and Management (4 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Cancer Research (93 citations), Obstetrics and Gynecology (41 citations), Endocrine and Autonomic Systems (31 citations), Molecular Biology (206 citations) and Genetics (74 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, Jae‐Seung Yun, Kyung-Ah Sohn, Yasser EL‐Manzalawy, Vasant Honavar and Jason E. Miller. Their work appears in journals such as BMC Medical Genomics, Scientific Reports, Nature Communications, American Journal of Obstetrics and Gynecology and Cancers.

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.

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