Guy Lucas

1.7k citations
30 papers · 1.3k indexed · h-index 14
  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research 8
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4
  • Hematology top 2%
    • Acute Myeloid Leukemia Research 7
    • Chronic Myeloid Leukemia Treatments 6
    • Multiple Myeloma Research and Treatments 3
    • Blood groups and transfusion 3
    • Lymphoma Diagnosis and Treatment 4
  • Immunology top 10%
    • Eosinophilic Disorders and Syndromes 3

Guy Lucas

29 papers receiving 1.2k citations

Peers

Guy Lucas
Comparison fields: 5 of 88
  • Genetics 619
  • Hematology 419
  • Pathology and Forensic Medicine 429
  • Cancer Research 232
  • Immunology 311
Replace Friedrich Wimazal with:
Friedrich Wimazal Austria
Rajko Kušec Croatia
Andreas Tobler Switzerland
Debra Saxe United States
Kimberly Hayes United States
Cristina Rabascio Italy
Diane C. Louie United States
Éric Jourdan France
Akihide Yoshimi Japan
Emanuele Ammatuna Netherlands
Guy Lucas relative to Friedrich Wimazal Austria Friedrich Wimazal's profile →
Citations per field
00.5×3.0×
Friedrich Wimazal · 1×
Citations per year

Countries citing papers authored by Guy Lucas

Since Specialization
Citations

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

Fields of papers citing papers by Guy Lucas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201180
2 200813
3 2008237
4 20080
5 20078
6 200727
7 200732
8 20075
9 2005293
10 20031
11 2002156
12 200012
13 19997
14 19962
15 199612
16 199429
17 199423
18 199310
19 198946
20 19732

About Guy Lucas

Guy Lucas is a scholar working on Hematology, Genetics, Virology, Immunology and Pathology and Forensic Medicine, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Acute Myeloid Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (3 papers), Eosinophilic Disorders and Syndromes (3 papers) and Blood groups and transfusion (3 papers). The work is most often cited by research in Genetics (619 citations), Hematology (419 citations), Pathology and Forensic Medicine (429 citations), Cancer Research (232 citations) and Immunology (311 citations). Guy Lucas has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Peter Hillmen, Ben Kennedy, Andy C. Rawstron, Melanie J. Percy, Mary Frances McMullin, Terence R.J. Lappin, Frank S. Lee, Paul W. Furlow, Xiping Li and Jane Tighe. Their work appears in journals such as British Journal of Haematology, Blood, Leukemia Research, Leukemia and Medical Mycology.

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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