J. McWhir

7.7k citations
20 papers · 5.0k indexed · 2 hit papers · h-index 8

Impact in

Papers in

J. McWhir

18 papers receiving 4.7k citations

Hit Papers

Viable offspring derived from fetal and adult mammalian cells 1997 · 3.4k citations
3.4k199620262006201610002.0k3.0k

Peers

J. McWhir
Comparison fields: 5 of 143
  • Public Health, Environmental and Occupational Health 2.2k
  • Genetics 2.0k
  • Molecular Biology 4.1k
  • Aging 68
  • Reproductive Medicine 222
Replace Alexander Kind with:
Alexander Kind Germany
Ian Wilmut United Kingdom
José B. Cibelli United States
Sheila C. Barton United Kingdom
Keith Campbell United Kingdom
William M. Rideout United States
Karl Illmensee Switzerland
Michele Boiani Germany
Petra Hájková United Kingdom
Alan H. Handyside United Kingdom
J. McWhir relative to Alexander Kind Germany Alexander Kind's profile →
Citations per field
00.5×1.5×
Alexander Kind · 1×
Citations per year

Countries citing papers authored by J. McWhir

Since Specialization
Citations

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

Fields of papers citing papers by J. McWhir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20190
2 200843
3 200619
4 20052
5
Genetic manipulation of human embryonic stem cells
20041
6
Gene targeting in livestock.
200324
7
Viable offspring derived from fetal and adult mammalian cells
Hit paper breakdown →
19973387
8
Sheep cloned by nuclear transfer from a cultured cell line
Hit paper breakdown →
19961232
9 19966
10 199491
11 1993102
12 19932
13 199252
14 19914
15 19877
16 19872
17 19875
18
Embryo manipulation and gene transfer in livestock production.
19860
19 19862
20 19855

About J. McWhir

J. McWhir is a scholar working on Genetics, Agronomy and Crop Science, Animal Science and Zoology, Molecular Biology and Small Animals, having authored 20 papers that have together received 5.0k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (8 papers), Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (5 papers), Genetic and phenotypic traits in livestock (4 papers), Reproductive Biology and Fertility (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Ruminant Nutrition and Digestive Physiology (2 papers) and Effects of Environmental Stressors on Livestock (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (2.2k citations), Genetics (2.0k citations), Molecular Biology (4.1k citations), Aging (68 citations) and Reproductive Medicine (222 citations). J. McWhir has collaborated with scholars based in United Kingdom, Canada and Netherlands. Frequent co-authors include I. Wilmut, Keith Campbell, Angelika Schnieke, Alexander Kind, William A. Ritchie, David W. Melton, Alan Colman, James D. Cooper, Alison J. Thomson and Nathalie M. T. van der Lugt. Their work appears in journals such as Theriogenology, Journal of Animal Science, Nature, Canadian Journal of Animal Science and Molecular and Cellular Biology.

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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