Sara Kaffe

1.2k citations
30 papers · 765 · h-index 16

Impact in

Papers in

Sara Kaffe

29 papers receiving 695 citations

Peers

Sara Kaffe
Comparison fields: 5 of 60
  • Pediatrics, Perinatology and Child Health 375
  • Genetics 506
  • Developmental Biology 18
  • Genetics 43
  • Urology 22
Replace D E Rooney with:
D E Rooney United Kingdom
Francesco Fiorentino Italy
Leonard E. Reisman United States
David Peakman United States
Kyohko Abe Japan
Lori Hoffner United States
JDA Delhanty United Kingdom
Zhihong Yang United States
Simon V. van Reijmersdal Netherlands
J Bernard France
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Citations per field
00.5×4.3×
D E Rooney · 1×
Citations per year

Countries citing papers authored by Sara Kaffe

Since Specialization
Citations

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

Fields of papers citing papers by Sara Kaffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992105
2 199783
3 199168
4 198458
5 199850
6 198745
7 200338
8 200137
9 197732
10 198229
11 197728
12 198426
13
Prenatal diagnosis of bilateral renal agenesis.
197725
14 197822
15
Variable cell-mediated immune defects in a family with `Candida endocrinopathy syndrome'
197519
16 199419
17 197815
18 197414
19 198811
20 197410

About Sara Kaffe

Sara Kaffe is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Molecular Biology, Surgery and Plant Science, having authored 30 papers that have together received 765 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (14 papers), Genomic variations and chromosomal abnormalities (12 papers), Congenital Anomalies and Fetal Surgery (5 papers), Genetic Syndromes and Imprinting (4 papers), Chromosomal and Genetic Variations (3 papers), DNA Repair Mechanisms (2 papers), Pediatric Urology and Nephrology Studies (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (375 citations), Genetics (506 citations), Developmental Biology (18 citations), Genetics (43 citations) and Urology (22 citations). Sara Kaffe has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Kurt Hirschhorn, Lillian Y. F. Hsu, Theresa E. Perlis, Philip D. Cotter, Darwin J. Prockop, Leslie D. McCurdy, Judith P. Willner, Lynn Godmilow, Brynn Levy and Teresa Dunn. Their work appears in journals such as Prenatal Diagnosis, Journal of Medical Genetics, Clinical Genetics, Pediatric Research and Human Genetics.

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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