JG Moore

902 citations
10 papers · 744 indexed · h-index 8

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Blood groups and transfusion
    • Iron Metabolism and Disorders
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Hematopoietic Stem Cell Transplantation 4
    • Iron Metabolism and Disorders 3
    • Blood groups and transfusion 2
    • Hemoglobinopathies and Related Disorders 3
    • Virus-based gene therapy research 2

JG Moore

10 papers receiving 704 citations

Peers

JG Moore
Comparison fields: 5 of 57
  • Hematology 321
  • Genetics 191
  • Dermatology 151
  • Infectious Diseases 258
  • Immunology 204
Replace F Miélot with:
F Miélot France
PF Coccia United States
SJ Forman United States
N Gratecos France
Lyubica Dabich United States
KJ Gajl-Peczalska United States
C. Frederick LeMaistre United States
Clara Cesana Italy
DH Pamphilon United Kingdom
P. Coccia United States
JG Moore relative to F Miélot France F Miélot's profile →
Citations per field
00.5×3.3×
F Miélot · 1×
Citations per year

Countries citing papers authored by JG Moore

Since Specialization
Citations

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

Fields of papers citing papers by JG Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside JG Moore, 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 JG Moore Line = papers co-authored together JG Moore links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1987140
2 19877
3 19869
4 1986105
5 198547
6 1985107
7 198564
8 19856
9 1984116
10 1984143

About JG Moore

JG Moore is a scholar working on Hematology, Genetics, Immunology, Nephrology and Infectious Diseases, having authored 10 papers that have together received 744 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Iron Metabolism and Disorders (3 papers), Virus-based gene therapy research (2 papers), Immunotherapy and Immune Responses (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Immune cells in cancer (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Hematology (321 citations), Genetics (191 citations), Dermatology (151 citations), Infectious Diseases (258 citations) and Immunology (204 citations). JG Moore has collaborated with scholars based in United States, Bulgaria and Nepal. Frequent co-authors include R. Keith Humphries, NS Young, Neal S. Young, Philip P. Mortimer, Megan S. Harrison, SA Rosenberg, AW Nienhuis, Samuel Charache, JY Djeu and Giuseppe Scala. Their work appears in journals such as Blood, Journal of Clinical Investigation and The Journal of Experimental Medicine.

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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