Katerina Kechris

7.3k citations
151 papers · 3.7k indexed · 1 hit paper · h-index 33

Katerina Kechris

144 papers receiving 3.7k citations

Hit Papers

The multiMiR R package and database: integration of micro...4752014202620182022100200300400

Peers

Katerina Kechris
Comparison fields: 5 of 153
  • Cancer Research 518
  • Obstetrics and Gynecology 269
  • Molecular Biology 2.0k
  • Aging 45
  • Pulmonary and Respiratory Medicine 755
Replace J. Mark Cline with:
J. Mark Cline United States
Luca Persani Italy
David V. Conti United States
Margaret Neville United States
Luis A. Herrera Mexico
Feng‐Xia Liang United States
Hilary S. Parker United States
Laura A. Cox United States
Wanqing Liu United States
Yuan Li China
Katerina Kechris relative to J. Mark Cline United States J. Mark Cline's profile →
Citations per field
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J. Mark Cline · 1×
Citations per year

Countries citing papers authored by Katerina Kechris

Since Specialization
Citations

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

Fields of papers citing papers by Katerina Kechris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20248
4 20240
5 20231
6 20234
7 202316
8 20236
9 202314
10 20223
11 20226
12 20213
13 20205
14 202016
15 201840
16 201744
17 201782
18 201036
19 200589
20 200416

About Katerina Kechris

Katerina Kechris is a scholar working on Obstetrics and Gynecology, Computational Mathematics and Molecular Biology, having authored 151 papers that have together received 3.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (28 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (26 papers), Metabolomics and Mass Spectrometry Studies (23 papers), Gene expression and cancer classification (23 papers), Birth, Development, and Health (21 papers), Epigenetics and DNA Methylation (16 papers), Gestational Diabetes Research and Management (14 papers) and Adipose Tissue and Metabolism (12 papers). The work is most often cited by research in Cancer Research (518 citations), Obstetrics and Gynecology (269 citations) and Molecular Biology (2.0k citations). Katerina Kechris has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Russell P. Bowler, Ivana V. Yang, Boris Tabakoff, Dana Dabelea, David A. Schwartz, Brent S. Pedersen, Sean Jacobson, Nichole Reisdorph, Laura Saba and Richard A. Radcliffe. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.

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