JM Goldman

1.5k citations
20 papers · 1.2k · h-index 16

Impact in

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

Papers in

    • Chronic Myeloid Leukemia Treatments 13
    • Hematopoietic Stem Cell Transplantation 6
    • Acute Myeloid Leukemia Research 5
    • Chronic Lymphocytic Leukemia Research 11

JM Goldman

20 papers receiving 1.1k citations

Peers

JM Goldman
Comparison fields: 5 of 52
  • Hematology 970
  • Genetics 439
  • Rheumatology 206
  • Immunology 192
  • Public Health, Environmental and Occupational Health 238
Replace Franck E. Nicolini with:
Franck E. Nicolini France
C. Dowding United Kingdom
M Malec Sweden
JM Cayuela France
MS Roth United States
Helmut Renges Germany
Ed Kanfer United Kingdom
Hu Wh China
J M Cayuela France
Evgeny Klyuchnikov Germany
JM Goldman relative to Franck E. Nicolini France Franck E. Nicolini's profile →
Citations per field
00.5×2.7×
Franck E. Nicolini · 1×
Citations per year

Countries citing papers authored by JM Goldman

Since Specialization
Citations

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

Fields of papers citing papers by JM Goldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1994288
2 1996145
3 1993143
4 1996111
5 199696
6 199865
7 199749
8 199742
9 199932
10 200128
11 199328
12 199928
13 199927
14 199722
15 199820
16 199719
17 198712
18 200112
19 19978
20 19965

About JM Goldman

JM Goldman is a scholar working on Hematology, Genetics, Rheumatology, Public Health, Environmental and Occupational Health and Immunology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (13 papers), Chronic Lymphocytic Leukemia Research (11 papers), Hematopoietic Stem Cell Transplantation (6 papers), Acute Myeloid Leukemia Research (5 papers), Eosinophilic Disorders and Syndromes (5 papers), Acute Lymphoblastic Leukemia research (3 papers), T-cell and B-cell Immunology (2 papers) and Sinusitis and nasal conditions (1 paper). The work is most often cited by research in Hematology (970 citations), Genetics (439 citations), Rheumatology (206 citations), Immunology (192 citations) and Public Health, Environmental and Occupational Health (238 citations). JM Goldman has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Nicholas C.P. Cross, Frits van Rhee, JV Melo, Andrew Chase, J Bungey, Andrew Spencer, Andreas Hochhaus, John Barrett, Bernardo Garicochea and Francesco Dazzi. Their work appears in journals such as Blood, Bone Marrow Transplantation and Leukemia.

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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