N. C. SIDDLE

1.8k citations
25 papers · 1.4k indexed · h-index 19

Impact in

Papers in

N. C. SIDDLE

25 papers receiving 1.3k citations

Peers

N. C. SIDDLE
Comparison fields: 5 of 98
  • Reproductive Medicine 403
  • Obstetrics and Gynecology 322
  • Endocrinology, Diabetes and Metabolism 456
  • Orthopedics and Sports Medicine 141
  • Genetics 411
Replace Jane A Suckling with:
Jane A Suckling New Zealand
Ingemar Persson Sweden
Ronald L. Young United States
Déborah Metzger United States
Toshimichi Oki Japan
Birgitta Byström Sweden
Dong‐Yun Lee South Korea
Krystyna Sztefko Poland
C Jaffiol France
Jin Soon Hwang South Korea
N. C. SIDDLE relative to Jane A Suckling New Zealand Jane A Suckling's profile →
Citations per field
00.5×3.3×
Jane A Suckling · 1×
Citations per year

Countries citing papers authored by N. C. SIDDLE

Since Specialization
Citations

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

Fields of papers citing papers by N. C. SIDDLE

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. C. SIDDLE. 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 N. C. SIDDLE. The network helps show where N. C. SIDDLE may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199519
2 199590
3 1993395
4 19931
5 199335
6 199245
7 199220
8 199036
9 199034
10 1987293
11 19875
12 198629
13 198442
14 198386
15 198326
16
Simple biochemical method to assess progestin effects on human endometrial DNA synthesis and its application to endometrial carcinoma.
19836
17 198236
18 198215
19 198232
20 198116

About N. C. SIDDLE

N. C. SIDDLE is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Genetics, Endocrinology, Diabetes and Metabolism and Immunology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (16 papers), Endometriosis Research and Treatment (8 papers), Menopause: Health Impacts and Treatments (8 papers), Reproductive System and Pregnancy (7 papers), Uterine Myomas and Treatments (3 papers), Gynecological conditions and treatments (3 papers), Pelvic floor disorders treatments (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Reproductive Medicine (403 citations), Obstetrics and Gynecology (322 citations), Endocrinology, Diabetes and Metabolism (456 citations), Orthopedics and Sports Medicine (141 citations) and Genetics (411 citations). N. C. SIDDLE has collaborated with scholars based in United Kingdom, United States and Chile. Frequent co-authors include Malcolm Whitehead, Philip M. Sarrel, R. C. Woledge, S. K. Phillips, Stuart Bruce, R.J.B. King, J. Pryse‐Davies, Geoffrey K. Lane, T. A. Ryder and G.L. Ridgway. Their work appears in journals such as BJOG An International Journal of Obstetrics & Gynaecology, Fertility and Sterility, American Journal of Obstetrics and Gynecology, British Journal of Radiology and Clinical Science.

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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