Nina Ohlson

895 citations
13 papers · 410 indexed · h-index 10

Impact in

Papers in

Nina Ohlson

13 papers receiving 403 citations

Peers

Nina Ohlson
Comparison fields: 5 of 70
  • Reproductive Medicine 82
  • Endocrinology, Diabetes and Metabolism 78
  • Obstetrics and Gynecology 33
  • Pulmonary and Respiratory Medicine 133
  • Cancer Research 60
Replace Laron McPhaul with:
Laron McPhaul United States
Hang Pong Ng United States
Luciano Mariani Italy
S. Deam United Kingdom
Margaret Ghilchik United Kingdom
Koichi Udagawa Japan
Pegah Ghandil Iran
Masahiko Kutsukake Japan
Antonio Angelini Italy
Lyuba Levine United States
Nina Ohlson relative to Laron McPhaul United States Laron McPhaul's profile →
Citations per field
00.5×
Laron McPhaul · 1×
Citations per year

Countries citing papers authored by Nina Ohlson

Since Specialization
Citations

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

Fields of papers citing papers by Nina Ohlson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 20148
2 201321
3 201120
4 201144
5 201152
6 201189
7 20111
8 201030
9 200711
10 200641
11 200622
12 20059
13 200462

About Nina Ohlson

Nina Ohlson is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Microbiology, having authored 13 papers that have together received 410 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Hormonal and reproductive studies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Advanced Biosensing Techniques and Applications (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Reproductive Medicine (82 citations), Endocrinology, Diabetes and Metabolism (78 citations), Obstetrics and Gynecology (33 citations), Pulmonary and Respiratory Medicine (133 citations) and Cancer Research (60 citations). Nina Ohlson has collaborated with scholars based in Sweden, United States and Japan. Frequent co-authors include Anders Bergh, Pernilla Wikström, Pär Stattin, Eva Lundin, Annika Idahl, Anne Zeleniuch‐Jacquotte, Alan A. Arslan, Karen L. Koenig, Adele Marrangoni and Anna Lokshin. Their work appears in journals such as The Prostate, Molecular Cancer Therapeutics, British Journal of Cancer, European Urology and Cytokine.

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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