M V Joyner

663 citations
24 papers · 463 · h-index 11

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 4
    • Multiple Myeloma Research and Treatments 4
    • Platelet Disorders and Treatments 3
    • Hematopoietic Stem Cell Transplantation 2
    • Chronic Lymphocytic Leukemia Research 7

M V Joyner

22 papers receiving 414 citations

Peers

M V Joyner
Comparison fields: 5 of 45
  • Hematology 298
  • Genetics 153
  • Oncology 134
  • Immunology 97
  • Pathology and Forensic Medicine 59
Replace R Spanedda with:
R Spanedda Italy
JD Tigaud France
S Stass United States
D Leboeuf France
DE Stepan United States
Marc Maynadié France
J O Moore United States
JP Greer United States
Michihiko Masuda Japan
A. G. Bynoe United Kingdom
M V Joyner relative to R Spanedda Italy R Spanedda's profile →
Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by M V Joyner

Since Specialization
Citations

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

Fields of papers citing papers by M V Joyner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989146
2 198588
3 197944
4 197928
5 199625
6 197923
7 198119
8 197916
9 200414
10 198013
11 198512
12 19778
13 19777
14 19785
15 20094
16 19903
17 20032
18 19972
19 20051
20 20091

About M V Joyner

M V Joyner is a scholar working on Hematology, Genetics, Molecular Biology, Immunology and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 463 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Acute Myeloid Leukemia Research (4 papers), Multiple Myeloma Research and Treatments (4 papers), Platelet Disorders and Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Hematology (298 citations), Genetics (153 citations), Oncology (134 citations), Immunology (97 citations) and Pathology and Forensic Medicine (59 citations). M V Joyner has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Lionello Camba, Maggie Evans, Diana Samson, Terry Mitchell, Joseph Kearney, Donald McCarthy, M. D. Hamon, Hywel Williams, C. P. Worman and Daniel Catovsky. Their work appears in journals such as British Journal of Haematology, Acta Haematologica, The Lancet, BioTechniques and Journal of Clinical Pathology.

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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