Christopher John Ormandy

10.7k citations
107 papers · 6.6k · h-index 50

Impact in

Papers in

Christopher John Ormandy

107 papers receiving 6.4k citations

Peers

Christopher John Ormandy
Comparison fields: 5 of 133
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Oncology 2.0k
  • Cancer Research 883
  • Reproductive Medicine 482
  • Genetics 1.6k
Replace Jacques Samarut with:
Jacques Samarut France
Vincent Goffin France
Jianming Xu United States
Manuel P. Mark France
Edward J. Filardo United States
Barbara K. Vonderhaar United States
Enzo Lalli France
Thorsten Heinzel Germany
Debabrata Chakravarti United States
Frank J. Talamantes United States
Christopher John Ormandy relative to Jacques Samarut France Jacques Samarut's profile →
Citations per field
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Jacques Samarut · 1×
Citations per year

Countries citing papers authored by Christopher John Ormandy

Since Specialization
Citations

This map shows the geographic impact of Christopher John 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 John 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 John Ormandy more than expected).

Fields of papers citing papers by Christopher John Ormandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010448
2 1999283
3 1998255
4 2003204
5 1999179
6 1998174
7 2005156
8 1999136
9 2006133
10 2008124
11 2005124
12 2000121
13 2006120
14 1997116
15 2012110
16 2015108
17 2002107
18 2004105
19 1997100
20 200599

About Christopher John Ormandy

Christopher John Ormandy is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Cancer Research, having authored 107 papers that have together received 6.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (30 papers), Estrogen and related hormone effects (19 papers), Cancer Cells and Metastasis (16 papers), Cytokine Signaling Pathways and Interactions (12 papers), Cancer-related Molecular Pathways (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Oncology (2.0k citations), Cancer Research (883 citations), Reproductive Medicine (482 citations) and Genetics (1.6k citations). Christopher John Ormandy has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Paul A. Kelly, Nadine Binart, Samantha Richelle Oakes, Robert L. Sutherland, Matthew J. Naylor, Heather J Lee, David Gallego‐Ortega, Jessica Harris, Elizabeth A. Musgrove and Roger J. Daly. Their work appears in journals such as Endocrinology, Molecular Endocrinology, PLoS Genetics, Breast Cancer Research 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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