Timothy P. Hughes

55.5k citations
503 papers · 25.0k indexed · 13 hit papers · h-index 71

Timothy P. Hughes

486 papers receiving 24.3k citations

Hit Papers

Long-Term Outcomes ...79719882026200020132505007501000

Peers

Timothy P. Hughes
Comparison fields: 5 of 148
  • Hematology 20.1k
  • Genetics 15.9k
  • Rheumatology 10.1k
  • Oncology 3.7k
  • Pathology and Forensic Medicine 2.0k
Replace Jane F. Apperley with:
Jane F. Apperley United Kingdom
John M. Goldman United Kingdom
Magnus Björkholm Sweden
Stefan Faderl United States
Michael Schiff United States
Rüdiger Hehlmann Germany
S Tura Italy
Philippe Moreau France
Franco Mandelli Italy
Jiřı́ Mayer Czechia
Timothy P. Hughes relative to Jane F. Apperley United Kingdom Jane F. Apperley's profile →
Citations per field
00.5×1.7×
Jane F. Apperley · 1×
Citations per year

Countries citing papers authored by Timothy P. Hughes

Since Specialization
Citations

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

Fields of papers citing papers by Timothy P. Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy P. Hughes. 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 Timothy P. Hughes. The network helps show where Timothy P. Hughes may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20242
3 20242
4 20241
5 20242
6 20240
7 20231
8 20225
9 20213
10 202126
11 202114
12 202054
13 202024
14 20165
15 2016227
16 201335
17 201132
18 2009236
19 2007244
20
Matched unrelated donor bone marrow transplantation for chronic myeloid leukaemia in chronic phase: comparison of ex vivo and in vivo T-cell depletion.
19938

About Timothy P. Hughes

Timothy P. Hughes is a scholar working on Hematology, Genetics and Rheumatology, having authored 503 papers that have together received 25.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (447 papers), Chronic Lymphocytic Leukemia Research (349 papers), Eosinophilic Disorders and Syndromes (182 papers), Acute Lymphoblastic Leukemia research (75 papers), Acute Myeloid Leukemia Research (43 papers), Lymphoma Diagnosis and Treatment (41 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (40 papers) and Click Chemistry and Applications (27 papers). The work is most often cited by research in Hematology (20.1k citations), Genetics (15.9k citations) and Rheumatology (10.1k citations). Timothy P. Hughes has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Susan Branford, Andreas Hochhaus, Richard A. Larson, Jerald P. Radich, Deborah L. White, Hagop M. Kantarjian, Giuseppe Saglio, John M. Goldman, David M. Ross and François Guilhot. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.

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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