Bin Moore

405 citations
9 papers · 301 · h-index 9

Impact in

Papers in

    • Growth Hormone and Insulin-like Growth Factors 5
    • Adrenal Hormones and Disorders 3
    • Hormonal Regulation and Hypertension 2
    • Pituitary Gland Disorders and Treatments 1
    • Sexual Differentiation and Disorders 2
    • Kruppel-like factors research 1

Bin Moore

9 papers receiving 295 citations

Peers

Bin Moore
Comparison fields: 5 of 49
  • Endocrinology, Diabetes and Metabolism 157
  • Orthopedics and Sports Medicine 52
  • Behavioral Neuroscience 19
  • Genetics 96
  • Reproductive Medicine 24
Replace MARILYN C. SKERDA with:
MARILYN C. SKERDA United States
Eriselda Profka Italy
Leon Aravantinos Greece
A. Mangiantini Italy
E. F. N. Holland United Kingdom
J. A. ENDACOTT United Kingdom
J Valcke France
Lindsey Nicol United States
Rita Indirli Italy
P Garnier France
Bin Moore relative to MARILYN C. SKERDA United States MARILYN C. SKERDA's profile →
Citations per field
00.5×10×15×20×
MARILYN C. SKERDA · 1×
Citations per year

Countries citing papers authored by Bin Moore

Since Specialization
Citations

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

Fields of papers citing papers by Bin Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 200476
2 200551
3 200444
4 199438
5 200729
6 200720
7 200716
8 198814
9 201913

About Bin Moore

Bin Moore is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Surgery and Physiology, having authored 9 papers that have together received 301 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Adrenal Hormones and Disorders (3 papers), Body Composition Measurement Techniques (2 papers), Sexual Differentiation and Disorders (2 papers), Hormonal Regulation and Hypertension (2 papers), Kruppel-like factors research (1 paper), Bone health and osteoporosis research (1 paper) and Pituitary Gland Disorders and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (157 citations), Orthopedics and Sports Medicine (52 citations), Behavioral Neuroscience (19 citations), Genetics (96 citations) and Reproductive Medicine (24 citations). Bin Moore has collaborated with scholars based in Australia, Austria and Germany. Frequent co-authors include Christopher T. Cowell, Julie Briody, Wolfgang Högler, P W Lu, Sarah P. Garnett, Ann Maguire, Geoffrey Ambler, Mark McLean, CT Cowell and Robert Howman‐Giles. Their work appears in journals such as Acta Paediatrica, The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, PEDIATRICS and Bone.

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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