J D Vickers

613 citations
28 papers · 496 · h-index 14

Impact in

  • Hematology top 10%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
  • Physiology top 10%

Papers in

J D Vickers

28 papers receiving 477 citations

Peers

J D Vickers
Comparison fields: 5 of 79
  • Hematology 135
  • Physiology 37
  • Genetics 71
  • Pharmacology 71
  • Endocrinology, Diabetes and Metabolism 64
Replace Anne-Marie Marés with:
Anne-Marie Marés France
P. Schanzenbächer Germany
Eleanor D. Kennedy United Kingdom
Ekaterina Kintsurashvili United States
L Donner Germany
Kristina M. Fetalvero United States
Georgina M. Nemecek United States
Emese Tóth-Zsámboki Hungary
Jean W. Assender United Kingdom
Roberta Vezza United States
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Citations per field
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Anne-Marie Marés · 1×
Citations per year

Countries citing papers authored by J D Vickers

Since Specialization
Citations

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

Fields of papers citing papers by J D Vickers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198282
2 199347
3 198445
4 198636
5 198435
6 198633
7 198832
8 197922
9 198321
10 197919
11 201019
12 198914
13 197813
14 198213
15 198713
16 198710
17 19947
18 19905
19 19955
20 19725

About J D Vickers

J D Vickers is a scholar working on Hematology, Molecular Biology, Pulmonary and Respiratory Medicine, Pharmacology and Genetics, having authored 28 papers that have together received 496 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (8 papers), Blood properties and coagulation (7 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Pharmaceutical studies and practices (4 papers), Blood disorders and treatments (4 papers), Pharmacology and Obesity Treatment (3 papers), Pancreatic function and diabetes (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Hematology (135 citations), Physiology (37 citations), Genetics (71 citations), Pharmacology (71 citations) and Endocrinology, Diabetes and Metabolism (64 citations). J D Vickers has collaborated with scholars based in Canada, United Kingdom and South Africa. Frequent co-authors include J. F. Mustard, R L Kinlough-Rathbone, RL Kinlough-Rathbone, Michel P. Rathbone, Alan J. McComas, Marian A. Packham, Margaret L. Rand, Hans‐Joachim Reimers, Nicholas Leung and N Chetty. Their work appears in journals such as Biochemical Journal, Platelets, Blood, Thrombosis and Haemostasis and Analytical Biochemistry.

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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