Marcy Darnovsky

20 papers receiving 266 citations

Peers

Marcy Darnovsky
Comparison fields: 5 of 66
  • Physiology 96
  • Reproductive Medicine 36
  • Public Health, Environmental and Occupational Health 89
  • Molecular Biology 90
  • Language and Linguistics 23
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Judit Marcella Sandor Austria
Giulia Cavaliere United Kingdom
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Citations per year

Countries citing papers authored by Marcy Darnovsky

Since Specialization
Citations

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

Fields of papers citing papers by Marcy Darnovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Marcy Darnovsky, 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 Marcy Darnovsky Line = papers co-authored together Marcy Darnovsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202075
2 201546
3 202045
4 201326
5
The Practical SQL Handbook: Using Structured Query Language
198922
6 201921
7 199616
8
Beyond Bioethics: Toward a New Biopolitics
201816
9 19917
10 20107
11
Revisiting sex selection: the growing popularity of new sex selection methods revives an old debate.
20046
12
The Practical SQL Handbook: Using SQL Variants
20015
13 20225
14 20073
15
FDA halts 23andMe personal genetic tests. What might this mean for the future of direct-to-consumer testing?
20143
16 20203
17
Human germline engineering and cloning as women's issues.
20012
18 20172
19
Revisiting sex selection
20041
20 20081

About Marcy Darnovsky

Marcy Darnovsky is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Reproductive Medicine, Gender Studies and Cognitive Neuroscience, having authored 24 papers that have together received 315 indexed citations. Recurring topics across this work include Ethics and bioethics in healthcare (9 papers), Biomedical Ethics and Regulation (8 papers), CRISPR and Genetic Engineering (6 papers), Neuroethics, Human Enhancement, Biomedical Innovations (4 papers), Reproductive Health and Technologies (3 papers), Demographic Trends and Gender Preferences (2 papers), Advanced Database Systems and Queries (2 papers) and Bioethics and Human Rights Issues (2 papers). The work is most often cited by research in Physiology (96 citations), Reproductive Medicine (36 citations), Public Health, Environmental and Occupational Health (89 citations), Molecular Biology (90 citations) and Language and Linguistics (23 citations). Marcy Darnovsky has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Timothy Mark Krahn, Françoise E. Baylis, Diane Beeson, Abby Lippman, Donna L. Dickenson, Osagie K. Obasogie, Richard Flacks, Hank Johnston, Barbara Leslie Epstein and Bert Klandermans. Their work appears in journals such as Nature, The Lancet, Social Text, Science and Trends in biotechnology.

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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