K Méhes

2.6k citations
105 papers · 1.7k indexed · h-index 17

Impact in

Papers in

K Méhes

101 papers receiving 1.6k citations

Peers

K Méhes
Comparison fields: 5 of 95
  • Genetics 717
  • Developmental Biology 49
  • Pediatrics, Perinatology and Child Health 408
  • Cell Biology 321
  • Molecular Biology 828
Replace Renata Laxová with:
Renata Laxová United States
Gary A. Bellus United States
G. Shashidhar Pai United States
Leonard Pinsky Canada
Zvi Borochowitz Israel
Kwame Anyane‐Yeboa United States
Kanya Suphapeetiporn Thailand
Boleslaw Goldman Israel
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K Méhes relative to Renata Laxová United States Renata Laxová's profile →
Citations per field
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Citations per year

Countries citing papers authored by K Méhes

Since Specialization
Citations

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

Fields of papers citing papers by K Méhes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20053
2 200424
3 20032
4 20021
5 20029
6 200016
7 19991
8
[Genetic evaluation of mental retardation].
19980
9 19982
10 199616
11 1995216
12 19956
13 19915
14 198814
15 198811
16
Non-random centromere division: analysis of G-banded human chromosomes.
198110
17 198010
18
[Screening of newborn infants for congenital malformations and genetic aberrations].
19771
19 19711
20 19692

About K Méhes

K Méhes is a scholar working on Developmental Biology, Genetics, Pediatrics, Perinatology and Child Health, Clinical Biochemistry and Urology, having authored 105 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (18 papers), Congenital Anomalies and Fetal Surgery (13 papers), Chromosomal and Genetic Variations (11 papers), Prenatal Screening and Diagnostics (10 papers), Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (6 papers), Cancer and Skin Lesions (5 papers) and Birth, Development, and Health (5 papers). The work is most often cited by research in Genetics (717 citations), Developmental Biology (49 citations), Pediatrics, Perinatology and Child Health (408 citations), Cell Biology (321 citations) and Molecular Biology (828 citations). K Méhes has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include P. Kajtár, Nora Shannon, Alexandre Irrthum, John Tolmie, Alberto Plaja, Nazneen Rahman, Alexa Kidd, John Swansbury, Sarah Reid and David Fitzpatrick. Their work appears in journals such as Human Genetics, Clinical Genetics, The Journal of Pediatrics, Journal of Pediatric Gastroenterology and Nutrition and European Journal of Pediatrics.

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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