David W Gorst

572 citations
30 papers · 424 · h-index 9

Impact in

  • Hematology top 5%
    • Blood groups and transfusion
    • Acute Myeloid Leukemia Research
    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Inference

Papers in

    • Blood groups and transfusion 7
    • Acute Myeloid Leukemia Research 3
    • Chronic Myeloid Leukemia Treatments 2
    • Global Cancer Incidence and Screening 3

David W Gorst

26 papers receiving 377 citations

Peers

David W Gorst
Comparison fields: 5 of 61
  • Hematology 167
  • Statistics and Probability 58
  • Oncology 49
  • Rheumatology 29
  • Public Health, Environmental and Occupational Health 53
Replace Valentina Ientile with:
Valentina Ientile Italy
Aránzazu Sancho‐López Spain
Mary I. Jumbelic United States
Vanessa Hayden United States
Kathleen J. Beach United States
Kaisu Kotaniemi Finland
Michelle N. Geddes Canada
A. Camez France
Michele E. Lloid United States
Raymond Dandavino Canada
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Citations per field
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Valentina Ientile · 1×
Citations per year

Countries citing papers authored by David W Gorst

Since Specialization
Citations

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

Fields of papers citing papers by David W Gorst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W Gorst. 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 David W Gorst. The network helps show where David W Gorst may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200284
2 199166
3 199962
4 198055
5 198721
6 200019
7 198718
8 198912
9 198610
10 19759
11 19779
12 20018
13 19776
14 19806
15 19775
16 19775
17 19805
18 19764
19 19844
20
Modelling spatial variation in leukaemia survival data.
20024

About David W Gorst

David W Gorst is a scholar working on Hematology, Oncology, Emergency Medicine, Rheumatology and Statistics and Probability, having authored 30 papers that have together received 424 indexed citations. Recurring topics across this work include Blood groups and transfusion (7 papers), Acute Lymphoblastic Leukemia research (3 papers), Global Cancer Incidence and Screening (3 papers), Acute Myeloid Leukemia Research (3 papers), Hematological disorders and diagnostics (3 papers), Health Services Management and Policy (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Statistical Distribution Estimation and Applications (2 papers). The work is most often cited by research in Hematology (167 citations), Statistics and Probability (58 citations), Oncology (49 citations), Rheumatology (29 citations) and Public Health, Environmental and Occupational Health (53 citations). David W Gorst has collaborated with scholars based in United Kingdom, Brazil and Jamaica. Frequent co-authors include Robin Henderson, Sílvia Emiko Shimakura, Violet I. Rawlinson, F. Stratton, Anthony H. Merry, J. M. Davies, J. A. Liu Yin, Peter R. E. Johnson, Monica M. Placzek and J. A. Whittaker. Their work appears in journals such as Postgraduate Medical Journal, Journal of Clinical Pathology, British Journal of Haematology, The Lancet and Archives of Disease in Childhood.

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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