D Pearson

2.2k citations
45 papers · 2.1k · h-index 22

Impact in

Papers in

D Pearson

43 papers receiving 1.8k citations

Peers

D Pearson
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 676
  • Pediatrics, Perinatology and Child Health 379
  • Genetics 173
  • Public Health, Environmental and Occupational Health 339
  • Radiology, Nuclear Medicine and Imaging 215
Replace H. Rao Gattamaneni with:
H. Rao Gattamaneni United Kingdom
Berta Jereb Slovenia
Martin L. Brecher United States
Claire Berger France
Jean‐Louis Habrand France
Hubert L. Ried United States
Esther Alfandary Israel
Jörn Dirk Beck Germany
Mary Huang United States
Joel W. Goldwein United States
D Pearson relative to H. Rao Gattamaneni United Kingdom H. Rao Gattamaneni's profile →
Citations per field
00.5×1.5×
H. Rao Gattamaneni · 1×
Citations per year

Countries citing papers authored by D Pearson

Since Specialization
Citations

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

Fields of papers citing papers by D Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976179
2 1987173
3 1979153
4 1975131
5 1990124
6 1988113
7 1976109
8 1995106
9 1976100
10 197699
11 197799
12 197783
13 197867
14 197865
15 197759
16 197642
17 196439
18 197237
19 196536
20 199036

About D Pearson

D Pearson is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Oncology and Public Health, Environmental and Occupational Health, having authored 45 papers that have together received 2.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Effects of Radiation Exposure (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Renal and related cancers (4 papers) and Global Cancer Incidence and Screening (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (676 citations), Pediatrics, Perinatology and Child Health (379 citations), Genetics (173 citations), Public Health, Environmental and Occupational Health (339 citations) and Radiology, Nuclear Medicine and Imaging (215 citations). D Pearson has collaborated with scholars based in United Kingdom and Israel. Frequent co-authors include Stephen M. Shalet, P H Morris Jones, Colin G. Beardwell, Ric Swindell, Brenda E. S. Gibson, Janet M. Barnes, Henry Basil Marsden, Ann Barrett, Faro Raafat and F. N. Bamford. Their work appears in journals such as Archives of Disease in Childhood, Clinical Radiology, Cancer, The Lancet and Clinical 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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