Diana M. Zuckerman

1.9k citations
51 papers · 1.2k indexed · h-index 16

Diana M. Zuckerman

48 papers receiving 1.0k citations

Peers

Diana M. Zuckerman
Comparison fields: 5 of 138
  • Health 237
  • Medical Laboratory Technology 32
  • Health Informatics 24
  • Gender Studies 159
  • Clinical Psychology 331
Replace Juliana Fernandes Filgueiras Meireles with:
Juliana Fernandes Filgueiras Meireles Brazil
Susan Feldman Australia
R. V. Rikard United States
Lydia Gisle Belgium
Orit Karnieli‐Miller Israel
Yunyu Xiao United States
Dawn Freshwater United Kingdom
Christiane Spitzmueller United States
Nancy Adams United States
Mia Liza A. Lustria United States
Diana M. Zuckerman relative to Juliana Fernandes Filgueiras Meireles Brazil Juliana Fernandes Filgueiras Meireles's profile →
Citations per field
00.5×10.7×
Juliana Fernandes Filgueiras Meireles · 1×
Citations per year

Countries citing papers authored by Diana M. Zuckerman

Since Specialization
Citations

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

Fields of papers citing papers by Diana M. Zuckerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana M. Zuckerman. 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 Diana M. Zuckerman. The network helps show where Diana M. Zuckerman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20223
2 201820
3 201731
4 20163
5
Understanding the Controversies Over a Groundbreaking New Health Care Law
20152
6 20154
7 2011173
8 20107
9 200839
10 20058
11 200328
12
Commentary: are breast implants safe?
20010
13 20007
14 198521
15 1984243
16 198211
17
Sex-Role Related Goals and Attitudes of Minority Students: A Study of Black College Women and Reentry Students.
19815
18
Changes and Contradictions in Children's Sex-Role Concepts.
19801
19 198015
20 198038

About Diana M. Zuckerman

Diana M. Zuckerman is a scholar working on Gender Studies, Health Informatics and Medical Laboratory Technology, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gender Roles and Identity Studies (9 papers), Breast Implant and Reconstruction (6 papers), Body Image and Dysmorphia Studies (5 papers), Work-Family Balance Challenges (5 papers), Child Development and Digital Technology (5 papers), Biomedical Ethics and Regulation (4 papers), Higher Education Research Studies (3 papers) and Media, Gender, and Advertising (3 papers). The work is most often cited by research in Health (237 citations), Medical Laboratory Technology (32 citations) and Health Informatics (24 citations). Diana M. Zuckerman has collaborated with scholars based in United States. Frequent co-authors include Stanislav V. Kasl, Adrian M. Ostfeld, Steven E. Nissen, P.J. Brown, Dorothy G. Singer, Jerome L. Singer, Norma C. Ware, Anisha Abraham, Barry Zuckerman and Myrna M. Weissman. Their work appears in journals such as Annals of Internal Medicine, American Psychologist and PEDIATRICS.

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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