John Ashcroft

4.3k citations
47 papers · 1.2k · h-index 14

Impact in

  • Hematology top 1%
    • Multiple Myeloma Research and Treatments
  • Oncology top 5%
    • Bone health and treatments
    • Peptidase Inhibition and Analysis
    • Cancer Treatment and Pharmacology
    • Cancer Diagnosis and Treatment

Papers in

    • Bone health and treatments 16
    • Cancer Treatment and Pharmacology 10
    • Cancer Diagnosis and Treatment 4
    • Peptidase Inhibition and Analysis 3
    • Multiple Myeloma Research and Treatments 26

John Ashcroft

44 papers receiving 1.1k citations

Peers

John Ashcroft
Comparison fields: 5 of 96
  • Hematology 608
  • Oncology 473
  • Genetics 90
  • Public Administration 29
  • Orthopedics and Sports Medicine 47
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John Ashcroft relative to Bruce G. Gordon United States Bruce G. Gordon's profile →
Citations per field
00.5×10×14.5×
Bruce G. Gordon · 1×
Citations per year

Countries citing papers authored by John Ashcroft

Since Specialization
Citations

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

Fields of papers citing papers by John Ashcroft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011227
2 2009175
3 2011156
4 200589
5
The case for interprofessional collaboration : in health and social care
200567
6 200063
7 201857
8 201348
9 201442
10 200840
11 201118
12 201417
13 201417
14 202313
15 201912
16 201810
17 20148
18 20148
19 20187
20 20207

About John Ashcroft

John Ashcroft is a scholar working on Oncology, Hematology, Molecular Biology, Surgery and Genetics, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (26 papers), Bone health and treatments (16 papers), Cancer Treatment and Pharmacology (10 papers), Management of metastatic bone disease (7 papers), Protein Degradation and Inhibitors (7 papers), Cancer Diagnosis and Treatment (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Hematology (608 citations), Oncology (473 citations), Genetics (90 citations), Public Administration (29 citations) and Orthopedics and Sports Medicine (47 citations). John Ashcroft has collaborated with scholars based in United Kingdom, Switzerland and Spain. Frequent co-authors include Geoffrey Meads, Guy Pratt, Sylvia Feyler, John A. Snowden, Jennifer M. Bird, Shirley D’Sa, Eric Low, Roger G. Owen, Gordon Cook and Faith E. Davies. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Value in Health and SpringerPlus.

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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