John Date

39 papers receiving 710 citations

Peers

John Date
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 444
  • Clinical Biochemistry 41
  • Obstetrics and Gynecology 41
  • Radiology, Nuclear Medicine and Imaging 94
  • Hematology 41
Replace W. Mraz with:
W. Mraz Germany
Konosuke Konishi Japan
Fabio Gonano Italy
Glenn Tisman United States
David Lappin Ireland
Gheorghe Gluhovschi Romania
Cecilia Hofmann United States
Blake J. Cochran Australia
Vicki Levidiotis Australia
H Franke Germany
John Date relative to W. Mraz Germany W. Mraz's profile →
Citations per field
00.5×6.8×
W. Mraz · 1×
Citations per year

Countries citing papers authored by John Date

Since Specialization
Citations

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

Fields of papers citing papers by John Date

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197963
2 199163
3 195755
4 197948
5 197845
6 198743
7 198038
8 198033
9 198827
10 198226
11 198226
12 197925
13 198124
14 198223
15 196422
16 198221
17 196821
18 195819
19 196419
20 198318

About John Date

John Date is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Surgery, Physiology and Pediatrics, Perinatology and Child Health, having authored 39 papers that have together received 805 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (21 papers), Thyroid Cancer Diagnosis and Treatment (14 papers), Thyroid and Parathyroid Surgery (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Birth, Development, and Health (4 papers), Metabolism and Genetic Disorders (3 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (444 citations), Clinical Biochemistry (41 citations), Obstetrics and Gynecology (41 citations), Radiology, Nuclear Medicine and Imaging (94 citations) and Hematology (41 citations). John Date has collaborated with scholars based in Denmark, United Kingdom and India. Frequent co-authors include Ulla Feldt‐Rasmussen, Per Hyltoft Petersen, Karine Bech, Charlotte Madsen, K. Kristoffersen, J. Rolschau, M Blichert-Toft, P H Petersen, F. Schønheyder and Paul J. Christensen. Their work appears in journals such as Scandinavian Journal of Clinical and Laboratory Investigation, European Journal of Endocrinology, Clinical Endocrinology, Allergy and Acta Obstetricia Et Gynecologica Scandinavica.

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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