Kathryn E. Graham

1.2k citations
11 papers · 280 · h-index 7

Impact in

Papers in

Kathryn E. Graham

11 papers receiving 272 citations

Peers

Kathryn E. Graham
Comparison fields: 5 of 49
  • Endocrinology, Diabetes and Metabolism 129
  • Reproductive Medicine 36
  • Genetics 53
  • Public Health, Environmental and Occupational Health 45
  • Behavioral Neuroscience 4
Replace Beate Lemcke with:
Beate Lemcke Germany
Per-Olof Janson Sweden
Yiyuan Liu China
Constanze Banz Germany
Mélanie J. Smith Australia
Qinjie Tian China
Doris Fadoju United States
J. J. Gera Hoorweg-Nijman Netherlands
Enid Pruysers Australia
Marcela M. França Brazil
Kathryn E. Graham relative to Beate Lemcke Germany Beate Lemcke's profile →
Citations per field
00.5×3.2×
Beate Lemcke · 1×
Citations per year

Countries citing papers authored by Kathryn E. Graham

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn E. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn E. Graham. 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 Kathryn E. Graham. The network helps show where Kathryn E. Graham may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1999102
2 199949
3 201235
4 199729
5 199829
6 200010
7 20079
8 20186
9
A prolonged use of granulocyte colony stimulating factor in Felty's syndrome.
19956
10 20203
11 20192

About Kathryn E. Graham

Kathryn E. Graham is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Neurology, General Health Professions and Economics and Econometrics, having authored 11 papers that have together received 280 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (4 papers), Health and Medical Research Impacts (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Adrenal Hormones and Disorders (2 papers), Health Policy Implementation Science (1 paper), Hematological disorders and diagnostics (1 paper) and Ovarian function and disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (129 citations), Reproductive Medicine (36 citations), Genetics (53 citations), Public Health, Environmental and Occupational Health (45 citations) and Behavioral Neuroscience (4 citations). Kathryn E. Graham has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Malcolm J. Low, Kevin D. Nusser, Mary H. Samuels, David M. Cook, Stanley L. Barnwell, Jacques Magnan, Pamela A. Valentine, D. Lynn Loriaux, Gary M. Nesbit and L. Sylvia. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Occupational Rehabilitation, Research Evaluation, Endocrinology and Journal of Endocrinology.

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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