Kenneth Ward

4.6k citations
96 papers · 3.4k · h-index 31

Impact in

Papers in

    • CRISPR and Genetic Engineering 7
    • Animal Genetics and Reproduction 10
    • Genomic variations and chromosomal abnormalities 6

Kenneth Ward

95 papers receiving 3.2k citations

Peers

Kenneth Ward
Comparison fields: 5 of 117
  • Obstetrics and Gynecology 552
  • Cardiology and Cardiovascular Medicine 1.0k
  • Hematology 428
  • Genetics 260
  • Endocrinology, Diabetes and Metabolism 365
Replace Zeev Blumenfeld with:
Zeev Blumenfeld Israel
Alistair B. Roberts United States
Anna Ghirardello Italy
Gaetano Bulfamante Italy
Masafumi Ito Japan
Ayşı̇n Bakkaloğlu Türkiye
David M. Smadja France
A P Sappino Switzerland
Koso Ohama Japan
M. Castellucci Italy
Kenneth Ward relative to Zeev Blumenfeld Israel Zeev Blumenfeld's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kenneth Ward

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999235
2 1997219
3 1997212
4 1997197
5 2013115
6 1996114
7 2006110
8 1983102
9 199797
10 198896
11 199890
12 200290
13 200687
14 199767
15 201067
16 201065
17 198962
18 200558
19 199357
20 200356

About Kenneth Ward

Kenneth Ward is a scholar working on Molecular Biology, Genetics, Surgery, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 96 papers that have together received 3.4k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (10 papers), Pregnancy and preeclampsia studies (10 papers), CRISPR and Genetic Engineering (7 papers), Preterm Birth and Chorioamnionitis (6 papers), Renin-Angiotensin System Studies (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Genetic factors in colorectal cancer (5 papers) and Birth, Development, and Health (5 papers). The work is most often cited by research in Obstetrics and Gynecology (552 citations), Cardiology and Cardiovascular Medicine (1.0k citations), Hematology (428 citations), Genetics (260 citations) and Endocrinology, Diabetes and Metabolism (365 citations). Kenneth Ward has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Lesa Nelson, Donna Dizon‐Townson, John C. Carey, Michael W. Varner, Steven B. Bleyl, Terry K. Morgan, Rakesh Chettier, D. Ware Branch, Hans Albertsen and Thomas K. Chin. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Human Molecular Genetics, Clinical Obstetrics & Gynecology, Journal of Reproductive Immunology and Hypertension.

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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