Michael J. Hochman

401 citations
21 papers · 232 · h-index 7

Impact in

    • Acute Myeloid Leukemia Research
    • CAR-T cell therapy research
    • Cancer survivorship and care

Papers in

    • Acute Myeloid Leukemia Research 12
    • Chronic Myeloid Leukemia Treatments 3
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 9
    • Virus-based gene therapy research 3

Michael J. Hochman

19 papers receiving 230 citations

Peers

Michael J. Hochman
Comparison fields: 5 of 36
  • Hematology 37
  • Oncology 75
  • Public Health, Environmental and Occupational Health 69
  • Immunology 49
  • Pediatrics, Perinatology and Child Health 38
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Citations per year

Countries citing papers authored by Michael J. Hochman

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Hochman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Hochman. 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 Michael J. Hochman. The network helps show where Michael J. Hochman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201776
2 202144
3 201134
4 202222
5 201612
6 201610
7 20168
8 20216
9 20225
10 20233
11 20192
12 20172
13 20252
14 20241
15 20231
16 20241
17 20241
18 20221
19 20221
20 20240

About Michael J. Hochman

Michael J. Hochman is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Molecular Biology and Genetics, having authored 21 papers that have together received 232 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Chronic Myeloid Leukemia Treatments (3 papers), Palliative Care and End-of-Life Issues (3 papers), Virus-based gene therapy research (3 papers), Cancer Genomics and Diagnostics (2 papers), Immune Cell Function and Interaction (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (37 citations), Oncology (75 citations), Public Health, Environmental and Occupational Health (69 citations), Immunology (49 citations) and Pediatrics, Perinatology and Child Health (38 citations). Michael J. Hochman has collaborated with scholars based in United States and Australia. Frequent co-authors include Steven Wolf, Arif H. Kamal, Thomas W. LeBlanc, Greg Samsa, Amy E. DeZern, Yinxi Yu, Mala Chakraborty, Robert Reger, Richard Childs and David Allan. Their work appears in journals such as Blood, Journal of Pain and Symptom Management, Journal of Clinical Oncology, Journal of Personalized Medicine and Molecular Therapy — Methods & Clinical Development.

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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