Maya Kappil

1.4k citations
27 papers · 1.1k · h-index 18

Impact in

Papers in

Maya Kappil

26 papers receiving 1.1k citations

Peers

Maya Kappil
Comparison fields: 5 of 96
  • Cancer Research 150
  • Health, Toxicology and Mutagenesis 126
  • Pediatrics, Perinatology and Child Health 158
  • Obstetrics and Gynecology 54
  • Molecular Biology 538
Replace Tamara R. Jones with:
Tamara R. Jones United States
Lissette Delgado‐Cruzata United States
Monica D. Nye United States
Rondi A. Butler United States
Ugo Soffientini United Kingdom
Undraga Schagdarsurengin Germany
Gregory D. Bennett United States
Ana Cheong United States
N E Skakkebæk Denmark
Ruiwei Jiang China
Maya Kappil relative to Tamara R. Jones United States Tamara R. Jones's profile →
Citations per field
00.5×1.6×
Tamara R. Jones · 1×
Citations per year

Countries citing papers authored by Maya Kappil

Since Specialization
Citations

This map shows the geographic impact of Maya Kappil'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 Maya Kappil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Kappil more than expected).

Fields of papers citing papers by Maya Kappil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Kappil. 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 Maya Kappil. The network helps show where Maya Kappil may publish in the future.

Co-authors

The 25 scholars most cited alongside Maya Kappil, 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 Maya Kappil Line = papers co-authored together Maya Kappil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012162
2 2011120
3 200589
4 201279
5 201572
6 200764
7 199857
8 201553
9 201253
10 201743
11 201640
12 201236
13 201532
14 201430
15 200627
16 201127
17 201623
18 201221
19 201616
20 200512

About Maya Kappil

Maya Kappil is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Genetic Syndromes and Imprinting (5 papers), Prenatal Screening and Diagnostics (4 papers), Birth, Development, and Health (4 papers), Childhood Cancer Survivors' Quality of Life (2 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (150 citations), Health, Toxicology and Mutagenesis (126 citations), Pediatrics, Perinatology and Child Health (158 citations), Obstetrics and Gynecology (54 citations) and Molecular Biology (538 citations). Maya Kappil has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Regina M. Santella, Jia Chen, Hui‐Chen Wu, Mary Beth Terry, Luca Lambertini, Lissette Delgado‐Cruzata, Yuyan Liao, Muhammad G. Kibriya, Qiao Wang and Carmen J. Marsit. Their work appears in journals such as Epigenetics, Cancer Prevention Research, Annual Review of Genomics and Human Genetics, Hepatology and Current Environmental Health Reports.

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.

Explore authors with similar magnitude of impact