C. A. Haiman

662 citations
3 papers · 388 indexed · h-index 3
Topics
Hypothalamic control of reproductive hormones (1 paper)Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper)Estrogen and related hormone effects (1 paper)
Partner nations
United StatesCanada

In The Last Decade

C. A. Haiman

3 papers receiving 375 citations

Peers

C. A. Haiman
Comparison fields: 5 of 46
  • Molecular Biology 197
  • Genetics 162
  • Oncology 105
  • Pulmonary and Respiratory Medicine 76
  • Endocrinology, Diabetes and Metabolism 76
Replace Robert F. Berris with:
Robert F. Berris United States
HV Thomas United Kingdom
R K Ross United States
A. Costantini Italy
Gen Matsunaga Japan
Tiffany A. Katz United States
Shun Soneda Japan
Bolot Kalmyrzaev United Kingdom
David Gordon South Africa
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C. A. Haiman relative to Robert F. Berris United States Robert F. Berris's profile →
Citations per field
00.5×
Robert F. Berris · 1×
Citations per year

Countries citing papers authored by C. A. Haiman

Since Specialization
Citations

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

Fields of papers citing papers by C. A. Haiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. A. Haiman. 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 C. A. Haiman. The network helps show where C. A. Haiman may publish in the future.

Co-authorship network of co-authors of C. A. Haiman

This figure shows the co-authorship network connecting the top 25 collaborators of C. A. Haiman. A scholar is included among the top collaborators of C. A. Haiman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. A. Haiman. C. A. Haiman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1 127
2
Association of genetic polymorphisms in UGT1A1 with breast cancer and plasma hormone levels.
70
3
The relationship between a polymorphism in CYP17 with plasma hormone levels and breast cancer.
191

About C. A. Haiman

C. A. Haiman is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health, having authored 3 papers that have together received 388 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Genetics (162 citations), Cancer Research (70 citations) and Endocrinology, Diabetes and Metabolism (76 citations). C. A. Haiman has collaborated with scholars based in United States and Canada. Frequent co-authors include David J. Hunter, Donna Spiegelman, Frank E. Speizer, Walter C. Willett, Graham A. Colditz, Susan E. Hankinson, Karl T. Kelsey, Daniel O. Stram, B. E. Henderson and Laurence N. Kolonel. Their work appears in journals such as American Journal of Epidemiology and PubMed.

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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