I. Persson

49 papers receiving 2.7k citations

Peers

I. Persson
Comparison fields: 5 of 117
  • Reproductive Medicine 382
  • Obstetrics and Gynecology 338
  • Pharmacology 368
  • Endocrinology, Diabetes and Metabolism 618
  • Orthopedics and Sports Medicine 319
Replace Jian Shen with:
Jian Shen China
Karen L. Koenig United States
Peter Eggena United States
J. A. Franklyn United Kingdom
J. Pryse‐Davies United Kingdom
Sabina Rinaldi France
Bernard Candas Canada
Renu Sarao Canada
Todd L. Edwards United States
N. Charlotte Onland‐Moret Netherlands
I. Persson relative to Jian Shen China Jian Shen's profile →
Citations per field
00.5×4.6×
Jian Shen · 1×
Citations per year

Countries citing papers authored by I. Persson

Since Specialization
Citations

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

Fields of papers citing papers by I. Persson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989312
2 2006228
3 1998193
4 1993165
5 1996153
6 1997152
7
Hormone replacement therapy and the risk of stroke. Follow-up of a population-based cohort in Sweden.
1993152
8 2011139
9 1994101
10 199798
11 201396
12 200090
13 199986
14 199385
15 199678
16 199378
17
The role of obesity and weight fluctuations in the etiology of renal cell cancer: a population-based case-control study.
199475
18 199254
19 199547
20 199543

About I. Persson

I. Persson is a scholar working on Pharmacology, Obstetrics and Gynecology, Reproductive Medicine, Neuropsychology and Physiological Psychology and Toxicology, having authored 51 papers that have together received 2.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), Cancer Risks and Factors (9 papers), Endometrial and Cervical Cancer Treatments (8 papers), Pharmacogenetics and Drug Metabolism (7 papers), Menopause: Health Impacts and Treatments (6 papers), Ovarian cancer diagnosis and treatment (4 papers), Global Cancer Incidence and Screening (4 papers) and Bone health and osteoporosis research (3 papers). The work is most often cited by research in Reproductive Medicine (382 citations), Obstetrics and Gynecology (338 citations), Pharmacology (368 citations), Endocrinology, Diabetes and Metabolism (618 citations) and Orthopedics and Sports Medicine (319 citations). I. Persson has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Magnus Ingelman‐Sundberg, R. Bergström, Sver­ker Ljunghall, Hans‐Olov Adami, Pär Sparén, Agneta Bergqvist, Leif Bergkvist, A. Melin, Inger Johansson and Lars Holmberg. Their work appears in journals such as Climacteric, Journal of Internal Medicine, Osteoporosis International, British Journal of Cancer and Acta Obstetricia Et Gynecologica Scandinavica.

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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