Peter Simm

1.9k citations
59 papers · 933 indexed · h-index 18

Peter Simm

52 papers receiving 912 citations

Peers

Peter Simm
Comparison fields: 5 of 92
  • Orthopedics and Sports Medicine 165
  • Rheumatology 174
  • Pathology and Forensic Medicine 179
  • Endocrinology, Diabetes and Metabolism 161
  • Genetics 189
Replace Heidi H. Kecskemethy with:
Heidi H. Kecskemethy United States
Nicola Crabtree United Kingdom
Helen Woodhead Australia
Sanjeev Patel United Kingdom
Beatriz Oliveri Argentina
Diana Swolin‐Eide Sweden
Mary Crutchfield United States
Irene N. Sills United States
Mario Skugor United States
Peter Simm relative to Heidi H. Kecskemethy United States Heidi H. Kecskemethy's profile →
Citations per field
00.5×2.6×
Heidi H. Kecskemethy · 1×
Citations per year

Countries citing papers authored by Peter Simm

Since Specialization
Citations

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

Fields of papers citing papers by Peter Simm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20231
6 20231
7 202121
8 20201
9 202020
10 20206
11 202013
12 20197
13 201813
14 201752
15 201316
16 201014
17 200911
18 200728
19 200787
20 20061

About Peter Simm

Peter Simm is a scholar working on Orthopedics and Sports Medicine, Nephrology, Endocrinology, Diabetes and Metabolism, Genetics and Nutrition and Dietetics, having authored 59 papers that have together received 933 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (10 papers), Vitamin D Research Studies (6 papers), Parathyroid Disorders and Treatments (6 papers), Bone health and treatments (6 papers), Connective tissue disorders research (5 papers), Hip disorders and treatments (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (165 citations), Rheumatology (174 citations), Pathology and Forensic Medicine (179 citations), Endocrinology, Diabetes and Metabolism (161 citations) and Genetics (189 citations). Peter Simm has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Margaret Zacharin, Craig F. Munns, Roger C. Allen, Christine Rodda, Angelina Lim, Aris Siafarikas, Christopher T. Cowell, Justin Brown, Craig Jefferies and Julie Briody. Their work appears in journals such as Bone, JBMR Plus, The Journal of Pediatrics, Hormone Research in Paediatrics and Pediatric Pulmonology.

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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