Hagit Hochner

2.3k citations
65 papers · 1.5k · h-index 17

Impact in

Papers in

Hagit Hochner

58 papers receiving 1.5k citations

Peers

Hagit Hochner
Comparison fields: 5 of 109
  • Obstetrics and Gynecology 237
  • Pediatrics, Perinatology and Child Health 253
  • Epidemiology 317
  • Genetics 87
  • Cardiology and Cardiovascular Medicine 155
Replace Finbar O’Callaghan with:
Finbar O’Callaghan United Kingdom
Wilma Oostdijk Netherlands
Bradley S. Miller United States
Hannah R. Elliott United Kingdom
Brian Hon‐Yin Chung Hong Kong
Molly S. Daniels United States
Berthold P. Hauffa Germany
A S Paul van Trotsenburg Netherlands
Ian M. Leitch Australia
Melissa Smart United Kingdom
Hagit Hochner relative to Finbar O’Callaghan United Kingdom Finbar O’Callaghan's profile →
Citations per field
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Finbar O’Callaghan · 1×
Citations per year

Countries citing papers authored by Hagit Hochner

Since Specialization
Citations

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

Fields of papers citing papers by Hagit Hochner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001394
2 2012240
3 2020105
4 200297
5 201275
6 201138
7 201434
8 201433
9 201624
10 200223
11 200923
12 201322
13 201619
14 200219
15 201717
16 202416
17 200116
18 200216
19 202016
20 201415

About Hagit Hochner

Hagit Hochner is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Genetics, Molecular Biology and Oncology, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Birth, Development, and Health (9 papers), Gestational Diabetes Research and Management (7 papers), Genetic Associations and Epidemiology (6 papers), Prenatal Screening and Diagnostics (4 papers), Genetic and phenotypic traits in livestock (3 papers), Epigenetics and DNA Methylation (3 papers), BRCA gene mutations in cancer (3 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Obstetrics and Gynecology (237 citations), Pediatrics, Perinatology and Child Health (253 citations), Epidemiology (317 citations), Genetics (87 citations) and Cardiology and Cardiovascular Medicine (155 citations). Hagit Hochner has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Yechiel Friedlander, Orly Manor, David S. Siscovick, Ronit Calderon‐Margalit, Ayala Burger, Iris Eisenberg, Stella Mitrani‐Rosenbaum, Bella Savitsky, Vardiella Meiner and Zohar Argov. Their work appears in journals such as Prenatal Diagnosis, Annals of Epidemiology, American Journal of Epidemiology, European Journal of Human Genetics and PLoS ONE.

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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