Anna Hockaday

1.8k citations
31 papers · 459 · h-index 10

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Multiple Myeloma Research and Treatments 17
    • Chronic Myeloid Leukemia Treatments 3
    • Chronic Lymphocytic Leukemia Research 11
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3

Anna Hockaday

26 papers receiving 457 citations

Peers

Anna Hockaday
Comparison fields: 5 of 39
  • Hematology 341
  • Genetics 123
  • Internal Medicine 29
  • Oncology 139
  • Pathology and Forensic Medicine 62
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Citations per field
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Citations per year

Countries citing papers authored by Anna Hockaday

Since Specialization
Citations

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

Fields of papers citing papers by Anna Hockaday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201696
2 201977
3 202058
4 202246
5 202030
6 201726
7 201722
8 201722
9 202212
10 20179
11 20217
12 20197
13 20186
14 20225
15 20155
16 20215
17 20184
18 20214
19 20174
20 20194

About Anna Hockaday

Anna Hockaday is a scholar working on Hematology, Genetics, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 31 papers that have together received 459 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (17 papers), Chronic Lymphocytic Leukemia Research (11 papers), Lymphoma Diagnosis and Treatment (6 papers), Protein Degradation and Inhibitors (5 papers), Cancer Treatment and Pharmacology (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (341 citations), Genetics (123 citations), Internal Medicine (29 citations), Oncology (139 citations) and Pathology and Forensic Medicine (62 citations). Anna Hockaday has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include David A. Cairns, Gordon Cook, Charlotte Pawlyn, Faith E. Davies, Martin Kaiser, Walter M. Gregory, Gareth J. Morgan, Mark T. Drayson, Graham Jackson and Roger G. Owen. Their work appears in journals such as Blood, Trials, British Journal of Haematology, Leukemia and The Lancet Haematology.

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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