Karen L. Reader

2.3k citations
39 papers · 1.7k · h-index 21

Impact in

Papers in

Karen L. Reader

36 papers receiving 1.6k citations

Peers

Karen L. Reader
Comparison fields: 5 of 90
  • Reproductive Medicine 428
  • Public Health, Environmental and Occupational Health 1.3k
  • Agronomy and Crop Science 306
  • Genetics 424
  • Molecular Biology 822
Replace Ann Hahnel with:
Ann Hahnel Canada
D.K. Berg New Zealand
Mateus José Sudano Brazil
Xuemei Wu China
Katrien Smits Belgium
Atsushi Ideta Japan
Gerrit J. Bouma United States
Horst-Dieter Reichenbach Germany
Osman V. Patel United States
F.M.F. van Dissel-Emiliani Netherlands
Karen L. Reader relative to Ann Hahnel Canada Ann Hahnel's profile →
Citations per field
00.5×3.9×
Ann Hahnel · 1×
Citations per year

Countries citing papers authored by Karen L. Reader

Since Specialization
Citations

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

Fields of papers citing papers by Karen L. Reader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen L. Reader. 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 Karen L. Reader. The network helps show where Karen L. Reader may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002260
2 2005187
3 2005135
4 2004127
5 2005120
6 2017105
7 200676
8 200666
9 200460
10
Oocyte-derived growth factors and ovulation rate in sheep.
200358
11 200756
12 200746
13 201143
14 201142
15 199936
16 201933
17 201531
18 201129
19 201428
20 201427

About Karen L. Reader

Karen L. Reader is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Reproductive Medicine, Agronomy and Crop Science and Genetics, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (26 papers), Renal and related cancers (10 papers), TGF-β signaling in diseases (9 papers), Pluripotent Stem Cells Research (6 papers), Reproductive Physiology in Livestock (5 papers), Sperm and Testicular Function (4 papers), Kruppel-like factors research (3 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Reproductive Medicine (428 citations), Public Health, Environmental and Occupational Health (1.3k citations), Agronomy and Crop Science (306 citations), Genetics (424 citations) and Molecular Biology (822 citations). Karen L. Reader has collaborated with scholars based in New Zealand, United Kingdom and Finland. Frequent co-authors include Jennifer L. Juengel, Kenneth P. McNatty, Olli Ritvos, Stan Lun, Nigel P. Groome, Peter R. Smith, Steve Lawrence, N. L. Hudson, Jo‐Ann L. Stanton and D. A. Heath. Their work appears in journals such as Reproduction Fertility and Development, Reproduction, Biology of Reproduction, Theriogenology and Journal of Nuclear Materials.

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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