RL Phyliky

847 citations
11 papers · 671 · h-index 10

Impact in

  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
    • T-cell and Retrovirus Studies
    • T-cell and B-cell Immunology

Papers in

    • Immunodeficiency and Autoimmune Disorders 4
    • Immune Cell Function and Interaction 4
    • Chronic Lymphocytic Leukemia Research 7

RL Phyliky

11 papers receiving 651 citations

Peers

RL Phyliky
Comparison fields: 5 of 33
  • Genetics 371
  • Immunology 421
  • Pathology and Forensic Medicine 358
  • Hematology 158
  • Oncology 158
Replace Craig C. Childs with:
Craig C. Childs United States
Gérard Buchonnet France
RD Brunning United States
Hadwiga Nowotny Austria
Bruce K. Wiseman United States
Maria dos Anjos Teixeira Portugal
Saad M. B. Rassam United Kingdom
Keisuke Kawamoto Japan
HJ Weinstein United States
S Stass United States
RL Phyliky relative to Craig C. Childs United States Craig C. Childs's profile →
Citations per field
00.5×3.3×
Craig C. Childs · 1×
Citations per year

Countries citing papers authored by RL Phyliky

Since Specialization
Citations

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

Fields of papers citing papers by RL Phyliky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside RL Phyliky, 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 RL Phyliky Line = papers co-authored together RL Phyliky links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1994205
2 1994114
3 1994105
4 199498
5 200546
6 198242
7 198326
8
Indeterminate cell histiocytosis treated successfully with 2-chlorodeoxyadenosine.
199713
9 199812
10
Benign and neoplastic disorders simulating hairy cell leukemia.
19849
11 19981

About RL Phyliky

RL Phyliky is a scholar working on Immunology, Genetics, Pathology and Forensic Medicine, Hematology and Emergency Medicine, having authored 11 papers that have together received 671 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Immune Cell Function and Interaction (4 papers), Hematological disorders and diagnostics (2 papers), Bone and Joint Diseases (2 papers), Acute Myeloid Leukemia Research (2 papers) and Eosinophilic Disorders and Syndromes (1 paper). The work is most often cited by research in Genetics (371 citations), Immunology (421 citations), Pathology and Forensic Medicine (358 citations), Hematology (158 citations) and Oncology (158 citations). RL Phyliky has collaborated with scholars based in United States. Frequent co-authors include Ayalew Tefferi, CY Li, JA Lust, TE Witzig, GW Dewald, L T Yam, Chin‐Yang Li, Stephanie Fink, Clive S. Zent and J. D. Hoyer. Their work appears in journals such as Blood, American Journal of Hematology, British Journal of Haematology, Mayo Clinic Proceedings and PubMed.

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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