Jonathan H. Tobias

17.8k citations
255 papers · 8.1k indexed · 1 hit paper · h-index 45

Jonathan H. Tobias

244 papers receiving 7.9k citations

Hit Papers

Using multiple genetic variants as instrumental variables...7872011202620162021250500750

Peers

Jonathan H. Tobias
Comparison fields: 5 of 163
  • Orthopedics and Sports Medicine 2.8k
  • Pathology and Forensic Medicine 1.1k
  • Genetics 1.7k
  • Physiology 1.3k
  • Rheumatology 770
Replace Fernando Rivadeneira with:
Fernando Rivadeneira Netherlands
Bonny Specker United States
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan H. Tobias

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan H. Tobias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan H. Tobias. 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 Jonathan H. Tobias. The network helps show where Jonathan H. Tobias may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20244
5 20241
6 20243
7 20243
8 20238
9 20234
10 20201
11 202013
12 202021
13 202014
14
Bivariate genetic association analysis of pediatric total-body DXA parameters identifies two novel genetic variants that jointly influence bone mineral content and bone area
20140
15
Elevated circulating sclerostin concentrations in individuals with high bone mass, with and without LRP5 mutations
20145
16 200918
17 20055
18
Estrogen receptor-alpha polymorphisms affect cortical bone growth in childhood in a site-dependent manner
20053
19
Neural arch load-bearing can weaken the anterior vertebral body and predispose to osteoporotic fracture
20021
20 19892

About Jonathan H. Tobias

Jonathan H. Tobias is a scholar working on Orthopedics and Sports Medicine, Genetics and Rheumatology, having authored 255 papers that have together received 8.1k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (95 papers), Bone Metabolism and Diseases (34 papers), Birth, Development, and Health (32 papers), Hip disorders and treatments (28 papers), Estrogen and related hormone effects (25 papers), Osteoarthritis Treatment and Mechanisms (24 papers), Body Composition Measurement Techniques (23 papers) and Bone health and treatments (20 papers). The work is most often cited by research in Orthopedics and Sports Medicine (2.8k citations), Pathology and Forensic Medicine (1.1k citations) and Genetics (1.7k citations). Jonathan H. Tobias has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Emma Clark, Andy Ness, Adrian Sayers, George Davey Smith, T.J. Chambers, Debbie A. Lawlor, Nicholas J. Timpson, Kevin Deere, Celia L. Gregson and Jonathan A C Sterne. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

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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