Suzanne Lake

29 papers receiving 799 citations

Peers

Suzanne Lake
Comparison fields: 5 of 92
  • Reproductive Medicine 449
  • Public Health, Environmental and Occupational Health 349
  • Genetics 319
  • Physiology 44
  • Research and Theory 6
Replace M. L. Meistrich with:
M. L. Meistrich United States
RG Wales Australia
A. Senn Switzerland
T. D. Hartman United Kingdom
D.P. Evenson United States
Gerardo Barroso United States
Brooks A. Keel United States
María Enciso Spain
E. Nieschlag India
Lourdes Muriel Spain
Suzanne Lake relative to M. L. Meistrich United States M. L. Meistrich's profile →
Citations per field
00.5×4.3×
M. L. Meistrich · 1×
Citations per year

Countries citing papers authored by Suzanne Lake

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Lake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975142
2 1983136
3 197681
4 198268
5 197760
6 202051
7 197840
8 201232
9 198231
10
Quantitative analysis of radiation-induced changes in sperm morphology.
198228
11 197927
12 198223
13
Radiation-induced DNA content variability in mouse sperm.
198319
14 198319
15 198518
16 197817
17 197915
18 198412
19 19769
20 19846

About Suzanne Lake

Suzanne Lake is a scholar working on Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Radiological and Ultrasound Technology, having authored 32 papers that have together received 864 indexed citations. Recurring topics across this work include Sperm and Testicular Function (12 papers), Reproductive Biology and Fertility (6 papers), Animal Genetics and Reproduction (4 papers), Reproductive biology and impacts on aquatic species (4 papers), Radioactive contamination and transfer (4 papers), Nuclear and radioactivity studies (4 papers), Radioactivity and Radon Measurements (4 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Reproductive Medicine (449 citations), Public Health, Environmental and Occupational Health (349 citations), Genetics (319 citations), Physiology (44 citations) and Research and Theory (6 citations). Suzanne Lake has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Barton L. Gledhill, M. A. Van Dilla, Daniel Pinkel, Marvin L. Meistrich, Dennis A. Stephenson, Rhona J. McInnes, L. L. Steinmetz, Joe W. Gray, Lawrence A. Johnson and Duane L. Garner. Their work appears in journals such as Health Physics, Cytometry, Journal of Histochemistry & Cytochemistry, Experimental Cell Research and Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis.

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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