Phillip M. Clair

711 citations
13 papers · 256 · h-index 7

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 5
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3
    • Mesenchymal stem cell research 1
    • Chronic Myeloid Leukemia Treatments 5
    • Acute Myeloid Leukemia Research 2

Phillip M. Clair

12 papers receiving 254 citations

Peers

Phillip M. Clair
Comparison fields: 5 of 44
  • Hematology 81
  • Genetics 70
  • Rheumatology 48
  • Oncology 65
  • Molecular Biology 141
Replace Ya‐Zhen Qin with:
Ya‐Zhen Qin China
Kai Brakensiek Germany
Karl-Anton Kreuzer Germany
Nathalie Javidi‐Sharifi United States
Julia Romani Germany
G. García-Manero United States
Yuye Shi China
Neil Dunavin United States
Melanie Thiede Germany
Nikola Tom Czechia
Phillip M. Clair relative to Ya‐Zhen Qin China Ya‐Zhen Qin's profile →
Citations per field
00.5×1.5×2.3×
Ya‐Zhen Qin · 1×
Citations per year

Countries citing papers authored by Phillip M. Clair

Since Specialization
Citations

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

Fields of papers citing papers by Phillip M. Clair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip M. Clair. 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 Phillip M. Clair. The network helps show where Phillip M. Clair may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201471
2 201842
3 201437
4 201535
5 201921
6 201921
7 201919
8 20164
9 20152
10 20182
11 20211
12 20181
13 20170

About Phillip M. Clair

Phillip M. Clair is a scholar working on Genetics, Hematology, Rheumatology, Molecular Biology and Oncology, having authored 13 papers that have together received 256 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Eosinophilic Disorders and Syndromes (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Cancer-related Molecular Pathways (2 papers), Acute Myeloid Leukemia Research (2 papers), Mast cells and histamine (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Hematology (81 citations), Genetics (70 citations), Rheumatology (48 citations), Oncology (65 citations) and Molecular Biology (141 citations). Phillip M. Clair has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Trudy G. Oliver, Thomas O’Hare, Michael W. Deininger, Anthony D. Pomicter, Kristofer C. Berrett, Shamus R. Carr, Anandaroop Mukhopadhyay, Benjamin L. Witt, Mohamed E. Salama and Dongqing Yan. Their work appears in journals such as Blood, Leukemia, Acta Haematologica, Nanomedicine Nanotechnology Biology and Medicine and Cell Reports.

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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