MJ Barnett

1.5k citations
19 papers · 1.2k indexed · h-index 17

Impact in

  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 9
    • Chronic Myeloid Leukemia Treatments 8
    • Hematopoietic Stem Cell Transplantation 7
    • Chronic Lymphocytic Leukemia Research 3

MJ Barnett

19 papers receiving 1.2k citations

Peers

MJ Barnett
Comparison fields: 5 of 43
  • Hematology 866
  • Genetics 446
  • Pathology and Forensic Medicine 372
  • Oncology 350
  • Neurology 135
Replace Mitchell A. Bitter with:
Mitchell A. Bitter United States
SH Nantel Canada
MA Bitter United States
Pascaline Talmant France
P Coser Italy
Ana Rasillo Spain
Monia Lunghi Italy
G. John Swansbury United Kingdom
J W Vardiman United States
Mark A. Arnesen United States
MJ Barnett relative to Mitchell A. Bitter United States Mitchell A. Bitter's profile →
Citations per field
00.5×1.5×2.3×
Mitchell A. Bitter · 1×
Citations per year

Countries citing papers authored by MJ Barnett

Since Specialization
Citations

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

Fields of papers citing papers by MJ Barnett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200056
2 200014
3 199843
4 199719
5 199698
6 1995100
7 1994101
8 1994163
9 1994121
10 19941
11 199155
12 199167
13 199166
14 199178
15 199036
16 199023
17 199035
18
Successful autografting in chronic myeloid leukaemia after maintenance of marrow in culture.
1989132
19 198731

About MJ Barnett

MJ Barnett is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Biochemistry, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Lung Cancer Research Studies (3 papers). The work is most often cited by research in Hematology (866 citations), Genetics (446 citations), Pathology and Forensic Medicine (372 citations), Oncology (350 citations) and Neurology (135 citations). MJ Barnett has collaborated with scholars based in Canada, United Kingdom and Italy. Frequent co-authors include Klingemann Hg, JD Shepherd, DE Reece, GL Phillips, SH Nantel, PM Lansdorp, Donna E. Hogge, HJ Sutherland, AC Eaves and JJ Spinelli. Their work appears in journals such as Blood, Bone Marrow Transplantation, British Journal of Cancer 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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