Philip Rowlings

1.5k citations
26 papers · 786 · h-index 15

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%
    • Mesenchymal stem cell research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Multiple Myeloma Research and Treatments 4
    • Chronic Myeloid Leukemia Treatments 3
    • Chronic Lymphocytic Leukemia Research 5

Philip Rowlings

26 papers receiving 758 citations

Peers

Philip Rowlings
Comparison fields: 5 of 74
  • Hematology 282
  • Genetics 197
  • Family Practice 21
  • Immunology 202
  • Pathology and Forensic Medicine 151
Replace Takehito Igarashi with:
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Mary Brush United States
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Philip Rowlings relative to Takehito Igarashi Japan Takehito Igarashi's profile →
Citations per field
00.5×2.6×
Takehito Igarashi · 1×
Citations per year

Countries citing papers authored by Philip Rowlings

Since Specialization
Citations

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

Fields of papers citing papers by Philip Rowlings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998178
2 2007121
3 199992
4 201551
5 199847
6 199741
7 200635
8 200232
9 201329
10 201922
11 199817
12 201616
13 201715
14 201314
15 202014
16 201512
17 201912
18 20178
19 20126
20 20196

About Philip Rowlings

Philip Rowlings is a scholar working on Hematology, Genetics, Oncology, Pathology and Forensic Medicine and Immunology, having authored 26 papers that have together received 786 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (4 papers), CAR-T cell therapy research (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Polyomavirus and related diseases (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Hematology (282 citations), Genetics (197 citations), Family Practice (21 citations), Immunology (202 citations) and Pathology and Forensic Medicine (151 citations). Philip Rowlings has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Anoop Enjeti, Carolyn A. Keever-Taylor, David H. Vesole, William H. Burns, Mary M. Horowitz, B. Bastian, Gladys Lo, John Chan, Chu‐Pak Lau and Jane McCrohon. Their work appears in journals such as Blood, Bone Marrow Transplantation, Critical Reviews in Oncology/Hematology, Journal of Clinical Oncology and European Heart Journal.

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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