Mark Goodman

1.4k citations
52 papers · 903 · h-index 16

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • Hematopoietic Stem Cell Transplantation 10
    • Acute Myeloid Leukemia Research 7
    • Multiple Myeloma Research and Treatments 6
    • Chronic Myeloid Leukemia Treatments 6
    • CAR-T cell therapy research 4

Mark Goodman

47 papers receiving 882 citations

Peers

Mark Goodman
Comparison fields: 5 of 96
  • Hematology 287
  • Oncology 261
  • Immunology 137
  • Transplantation 16
  • Genetics 54
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Jiří Vorlíček Czechia
Yu‐Min Shen United States
Fengxin Lu United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Mark Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Feasibility and correlates of arsenic trioxide combined with ascorbic acid-mediated depletion of intracellular glutathione for the treatment of relapsed/refractory multiple myeloma.
2002164
2 200384
3 201969
4 199756
5 200252
6 201749
7 199947
8 199738
9 200334
10 199926
11 201125
12 199824
13 201421
14
Anti-1-Amino-3-F-18-Fluorocyclobutane-1-Carboxylic Acid: Physiologic Uptake Patterns, Incidental Findings, and Variants That May Simulate Disease
201420
15 202119
16 199616
17 200414
18 199813
19 201013
20 202412

About Mark Goodman

Mark Goodman is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Epidemiology, having authored 52 papers that have together received 903 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Acute Myeloid Leukemia Research (7 papers), Multiple Myeloma Research and Treatments (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Cytomegalovirus and herpesvirus research (5 papers), CAR-T cell therapy research (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (287 citations), Oncology (261 citations), Immunology (137 citations), Transplantation (16 citations) and Genetics (54 citations). Mark Goodman has collaborated with scholars based in United States, Norway and Italy. Frequent co-authors include Hugo F. Fernández, Denise Pereira, Lazaros J. Lekakis, Krishna V. Komanduri, Isildinha Reis, Nizar J. Bahlis, Antonio Jiménez, Kelvin P. Lee, James R. Eckman and Amer Beitinjaneh. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Blood, Bone Marrow Transplantation, Blood Advances 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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