Amy Chadburn

34.5k citations
246 papers · 19.0k indexed · 9 hit papers · h-index 67

Impact in

Papers in

Amy Chadburn

238 papers receiving 18.6k citations

Hit Papers

Genetics of Follicular Lymphoma Transformation 2014 · 376 citations
37619962026200620164008001.2k

Peers

Amy Chadburn
Comparison fields: 5 of 151
  • Pathology and Forensic Medicine 6.7k
  • Genetics 3.3k
  • Oncology 8.4k
  • Cancer Research 3.2k
  • Immunology 4.3k
Replace Mark Raffeld with:
Mark Raffeld United States
Harald Stein Germany
Jonathan Said United States
Antonino Carbone Italy
Gianluca Gaïdano Italy
Ralf Küppers Germany
Wyndham H. Wilson United States
Daniel M. Knowles United States
Michael Hummel Germany
Giovanna Tosato United States
Amy Chadburn relative to Mark Raffeld United States Mark Raffeld's profile →
Citations per field
00.5×1.6×
Mark Raffeld · 1×
Citations per year

Countries citing papers authored by Amy Chadburn

Since Specialization
Citations

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

Fields of papers citing papers by Amy Chadburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20244
3 20242
4 20232
5 20219
6 202175
7 20213
8 202076
9 202042
10 202036
11 20208
12 20183
13 201833
14 201760
15 2009103
16 2009234
17
C{micro}->C{delta} Class Switch Recombination and IgD Production Contribute to Mucosal Immunity
20081
18 2007254
19 2006157
20
Molecular pathology of posttransplantation lymphoproliferative disorders.
199781

About Amy Chadburn

Amy Chadburn is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Immunology and Hematology, having authored 246 papers that have together received 19.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (127 papers), Viral-associated cancers and disorders (96 papers), Chronic Lymphocytic Leukemia Research (48 papers), Immune Cell Function and Interaction (28 papers), CNS Lymphoma Diagnosis and Treatment (23 papers), Parvovirus B19 Infection Studies (18 papers), T-cell and Retrovirus Studies (13 papers) and Eosinophilic Disorders and Syndromes (13 papers). The work is most often cited by research in Pathology and Forensic Medicine (6.7k citations), Genetics (3.3k citations), Oncology (8.4k citations), Cancer Research (3.2k citations) and Immunology (4.3k citations). Amy Chadburn has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Ethel Cesarman, Daniel M. Knowles, DM Knowles, Wayne Tam, Riccardo Dalla‐Favera, Laura Pasqualucci, Andrea Cerutti, Mario Gómez, April Chiu and Bing He. Their work appears in journals such as Blood, Journal of Clinical Oncology, American Journal of Clinical Pathology, Cancer and Modern Pathology.

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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