Christopher J. Ormandy

10.6k citations
110 papers · 7.2k indexed · 1 hit paper · h-index 51

Christopher J. Ormandy

110 papers receiving 7.1k citations

Hit Papers

Null mutation of the prolactin receptor gene produces mul...6431997202620062016200400600

Peers

Christopher J. Ormandy
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Oncology 2.6k
  • Reproductive Medicine 597
  • Genetics 1.9k
  • Cancer Research 1.0k
Replace Vincent Goffin with:
Vincent Goffin France
Jacques Samarut France
Jolene J. Windle United States
Kay‐Uwe Wagner United States
Manuel Mark France
Edward J. Filardo United States
Jean Djiane France
Björn Vennström Sweden
Debabrata Chakravarti United States
Enzo Lalli France
Christopher J. Ormandy relative to Vincent Goffin France Vincent Goffin's profile →
Citations per field
00.5×1.5×
Vincent Goffin · 1×
Citations per year

Countries citing papers authored by Christopher J. Ormandy

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Ormandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Ormandy. 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 Christopher J. Ormandy. The network helps show where Christopher J. Ormandy may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20227
2 202110
3 202016
4 201916
5 201843
6 201725
7 201715
8 201635
9 201460
10 201339
11 201048
12 2008115
13 200817
14 200740
15 200516
16 200457
17 199959
18 1999260
19
Amplification, expression, and steroid regulation of the preprogalanin gene in human breast cancer.
199817
20 199340

About Christopher J. Ormandy

Christopher J. Ormandy is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Genetics, having authored 110 papers that have together received 7.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (30 papers), Estrogen and related hormone effects (20 papers), Cancer Cells and Metastasis (17 papers), Cytokine Signaling Pathways and Interactions (13 papers), Cancer-related Molecular Pathways (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Wnt/β-catenin signaling in development and cancer (8 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Oncology (2.6k citations) and Reproductive Medicine (597 citations). Christopher J. Ormandy has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Nadine Binart, Paul A. Kelly, Samantha R. Oakes, Robert L. Sutherland, Matthew J. Naylor, B. K. Lucas, Heather Lee, Elizabeth A. Musgrove, Jessica Harris and Diane Damotte. Their work appears in journals such as Endocrinology, Molecular Endocrinology, Breast Cancer Research, PLoS Genetics and Oncogene.

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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