JM Rowe

458 citations
11 papers · 326 · h-index 6

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Legionella and Acanthamoeba research

Papers in

JM Rowe

11 papers receiving 310 citations

Peers

JM Rowe
Comparison fields: 5 of 54
  • Hematology 119
  • Endocrinology 34
  • Genetics 60
  • Pathology and Forensic Medicine 93
  • Oncology 86
Replace Young Tak Lim with:
Young Tak Lim South Korea
J. Léone France
Oya Levendoglu‐Tugal United States
G Weissbach Germany
Akw Lie China
Rita Balter Italy
Juan José Alegre Sancho Spain
J Ivánýi Hungary
T. I. Robertson Australia
Ashok Shende United States
JM Rowe relative to Young Tak Lim South Korea Young Tak Lim's profile →
Citations per field
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Young Tak Lim · 1×
Citations per year

Countries citing papers authored by JM Rowe

Since Specialization
Citations

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

Fields of papers citing papers by JM Rowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside JM Rowe, 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 JM Rowe Line = papers co-authored together JM Rowe links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1982137
2 200246
3 199845
4 199742
5 199735
6 19997
7 19814
8
Bone marrow transplantation in first remission.
19974
9
Extreme rhabdomyolysis in a patient with acute leukemia. Association with Candida kruseii fungemia.
19883
10
Morphologic classification of acute myeloid leukemia: concordance among Eastern Cooperative Oncology Group investigators: a comment.
19962
11
Pseudoleukemia in a patient with Hodgkin's disease.
19921

About JM Rowe

JM Rowe is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Molecular Biology and Genetics, having authored 11 papers that have together received 326 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Polyomavirus and related diseases (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Blood properties and coagulation (1 paper) and Neurological Complications and Syndromes (1 paper). The work is most often cited by research in Hematology (119 citations), Endocrinology (34 citations), Genetics (60 citations), Pathology and Forensic Medicine (93 citations) and Oncology (86 citations). JM Rowe has collaborated with scholars based in United States. Frequent co-authors include JL Liesveld, Mordechai Yigla, Richard A. Finkelstein, Tsila Zuckerman, I. Oren, Irit Avivi, JF DiPersio, L.S. Constine, CN Abboud and Shirley Eberly. Their work appears in journals such as Bone Marrow Transplantation, Blood, Leukemia 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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