Andy C. Rawstron

18.5k citations
196 papers · 7.3k · h-index 42

Impact in

  • Genetics top 0.1%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 0.2%
    • Multiple Myeloma Research and Treatments

Papers in

Andy C. Rawstron

187 papers receiving 7.2k citations

Peers

Andy C. Rawstron
Comparison fields: 5 of 103
  • Genetics 3.9k
  • Hematology 3.0k
  • Pathology and Forensic Medicine 3.0k
  • Immunology 2.9k
  • Oncology 1.6k
Replace Francesco Zaja with:
Francesco Zaja Italy
Richard R. Furman United States
Ivana N. Micallef United States
Francesc Bosch Spain
Morton Coleman United States
A.J. Grillo-López United States
Jeff P. Sharman United States
Luis F. Porrata United States
M. S. Czuczman United States
Zachary R. Hunter United States
Andy C. Rawstron relative to Francesco Zaja Italy Francesco Zaja's profile →
Citations per field
00.5×1.5×2.4×
Francesco Zaja · 1×
Citations per year

Countries citing papers authored by Andy C. Rawstron

Since Specialization
Citations

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

Fields of papers citing papers by Andy C. Rawstron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andy C. Rawstron. 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 Andy C. Rawstron. The network helps show where Andy C. Rawstron may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008371
2 2016330
3 2005293
4 2013285
5 2005261
6 2002224
7 2010203
8 2001190
9 2019180
10 2011177
11 2008166
12 2002156
13 2002156
14 1997151
15 2004139
16 2010136
17 2002136
18 2009121
19 2012119
20 2015114

About Andy C. Rawstron

Andy C. Rawstron is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Hematology and Molecular Biology, having authored 196 papers that have together received 7.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (120 papers), Lymphoma Diagnosis and Treatment (83 papers), Immunodeficiency and Autoimmune Disorders (60 papers), Multiple Myeloma Research and Treatments (55 papers), Monoclonal and Polyclonal Antibodies Research (23 papers), Protein Degradation and Inhibitors (16 papers), Chronic Myeloid Leukemia Treatments (15 papers) and Cancer Treatment and Pharmacology (12 papers). The work is most often cited by research in Genetics (3.9k citations), Hematology (3.0k citations), Pathology and Forensic Medicine (3.0k citations), Immunology (2.9k citations) and Oncology (1.6k citations). Andy C. Rawstron has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Peter Hillmen, Roger G. Owen, Gareth J. Morgan, Stephen J. Richards, Andrew Jack, Faith E. Davies, Ben Kennedy, J. A. Child, Paul Emery and Edward M Vital. Their work appears in journals such as Blood, British Journal of Haematology, Annals of the Rheumatic Diseases, Cytometry Part B Clinical Cytometry and Leukemia.

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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