Nienke M. Nota
- Social Psychology top 1%
- LGBTQ Health, Identity, and Policy 21
- Reproductive Medicine top 2%
- Gender Studies top 5%
- Clinical Psychology top 5%
- Sexuality, Behavior, and Technology 3
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- Male Breast Health Studies 4
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- Hormonal and reproductive studies 6
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- BRCA gene mutations in cancer 3
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- Sexual Differentiation and Disorders 3
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- Obesity and Health Practices 3
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- Neural dynamics and brain function 2
- Co-authors
- Martin den HeijerChantal M WiepjesChristel J.M. de BlokMaartje KlaverGuy T’SjoenBaudewijntje P.C. KreukelsRenate T. de JonghLouis Gooren
- Partner nations
- NetherlandsBelgiumItaly
In The Last Decade
Nienke M. Nota
32 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Social Psychology 1.2k
- Reproductive Medicine 287
- Gender Studies 151
- Clinical Psychology 312
- Public Health, Environmental and Occupational Health 401
Countries citing papers authored by Nienke M. Nota
This map shows the geographic impact of Nienke M. Nota'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 Nienke M. Nota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nienke M. Nota more than expected).
Fields of papers citing papers by Nienke M. Nota
This network shows the impact of papers produced by Nienke M. Nota. 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 Nienke M. Nota. The network helps show where Nienke M. Nota may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nienke M. Nota, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 11 | |
| 2 | 2022 | 37 | |
| 3 | 2021 | 38 | |
| 4 | [Hormone treatment of transgender people: Long-term health effects and safety]. | 2020 | 1 |
| 5 | 2020 | 16 | |
| 6 | 2019 | 80 | |
| 7 | 2019 | 15 | |
| 8 | Breast cancer risk in transgender people receiving hormone treatment: nationwide cohort study in the Netherlandsbreakdown → | 2019 | 238 |
| 9 | 2019 | 58 | |
| 10 | The Amsterdam Cohort of Gender Dysphoria Study (1972–2015): Trends in Prevalence, Treatment, and Regretsbreakdown → | 2018 | 371 |
| 11 | 2018 | 85 | |
| 12 | 2018 | 58 | |
| 13 | 2017 | 70 | |
| 14 | 2017 | 57 | |
| 15 | 2017 | 15 | |
| 16 | 2017 | 21 | |
| 17 | 2017 | 50 | |
| 18 | 2016 | 17 | |
| 19 | 2016 | 1 | |
| 20 | 2013 | 3 |
About Nienke M. Nota
Nienke M. Nota is a scholar working on Social Psychology, Pharmacy and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include LGBTQ Health, Identity, and Policy (21 papers), Hormonal and reproductive studies (6 papers), Male Breast Health Studies (4 papers), BRCA gene mutations in cancer (3 papers), Sexual Differentiation and Disorders (3 papers), Sexuality, Behavior, and Technology (3 papers), Obesity and Health Practices (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Social Psychology (1.2k citations), Reproductive Medicine (287 citations) and Gender Studies (151 citations). Nienke M. Nota has collaborated with scholars based in Netherlands, Belgium and Italy. Frequent co-authors include Martin den Heijer, Chantal M Wiepjes, Christel J.M. de Blok, Maartje Klaver, Guy T’Sjoen, Baudewijntje P.C. Kreukels, Renate T. de Jongh, Louis Gooren, Thomas D. Steensma and Thomas Schreiner. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Brain.
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.