Fiona E. Craig

7.3k citations
107 papers · 4.3k · h-index 30

Impact in

Papers in

Fiona E. Craig

102 papers receiving 4.1k citations

Peers

Fiona E. Craig
Comparison fields: 5 of 118
  • Pathology and Forensic Medicine 1.3k
  • Dermatology 635
  • Hematology 772
  • Genetics 698
  • Immunology 1.2k
Replace Roland Schwarting with:
Roland Schwarting United States
Jean‐Claude Brouet France
Dan Knowles United States
Gorm Pallesen Denmark
Fabrizio Vinante Italy
R Warnke United States
A K Ghosh United Kingdom
Jennifer M. McNiff United States
P L Amlot United Kingdom
Margaret L. Gulley United States
Fiona E. Craig relative to Roland Schwarting United States Roland Schwarting's profile →
Citations per field
00.5×4.2×
Roland Schwarting · 1×
Citations per year

Countries citing papers authored by Fiona E. Craig

Since Specialization
Citations

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

Fields of papers citing papers by Fiona E. Craig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona E. Craig. 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 Fiona E. Craig. The network helps show where Fiona E. Craig may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008462
2 2000339
3 1998279
4 2010263
5 2018229
6 1999182
7 2015163
8 1998159
9 1993158
10 2001154
11 2005134
12 2002130
13 1998108
14 200784
15 200383
16
Phase I trial of a 90-minute infusion of the fusion toxin DAB486IL-2 in hematological cancers.
199378
17 199277
18 200666
19 200065
20 200764

About Fiona E. Craig

Fiona E. Craig is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Immunology and Dermatology, having authored 107 papers that have together received 4.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (44 papers), Chronic Lymphocytic Leukemia Research (24 papers), Viral-associated cancers and disorders (19 papers), Cutaneous lymphoproliferative disorders research (14 papers), CNS Lymphoma Diagnosis and Treatment (9 papers), Eosinophilic Disorders and Syndromes (9 papers), T-cell and Retrovirus Studies (6 papers) and Autoimmune and Inflammatory Disorders (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.3k citations), Dermatology (635 citations), Hematology (772 citations), Genetics (698 citations) and Immunology (1.2k citations). Fiona E. Craig has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kenneth A. Foon, Margaret L. Gulley, Steven H. Swerdlow, Peter M. Banks, Joseph A. DiGiuseppe, Rowena D. Devlin, G. David Roodman, Sun Jin Choi, Ho-Yeon Chung and Melissa Alsina. Their work appears in journals such as American Journal of Clinical Pathology, Cytometry Part B Clinical Cytometry, Blood, Journal of the American Academy of Dermatology and Human 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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