Mark D. Minden

44.3k citations
509 papers · 23.6k indexed · 8 hit papers · h-index 69

Mark D. Minden

483 papers receiving 23.2k citations

Hit Papers

A cellul...150199420262004201510002.0k3.0k

Peers

Mark D. Minden
Comparison fields: 5 of 169
  • Hematology 8.3k
  • Genetics 2.9k
  • Oncology 7.0k
  • Cancer Research 3.7k
  • Immunology 4.0k
Replace Marina Konopleva with:
Marina Konopleva United States
Giuseppe Basso Italy
Edo Vellenga Netherlands
Wolfgang E. Berdel Germany
Andrew L. Kung United States
Guido Marcucci United States
Bob Löwenberg Netherlands
Hubert Serve Germany
Jean‐Pierre J. Issa United States
Cheryl L. Willman United States
Mark D. Minden relative to Marina Konopleva United States Marina Konopleva's profile →
Citations per field
00.5×1.5×
Marina Konopleva · 1×
Citations per year

Countries citing papers authored by Mark D. Minden

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Minden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20246
3 20238
4 202211
5 202027
6 202020
7 201923
8 20188
9 201780
10 201731
11 201615
12 2015134
13 201464
14
Multicenter, Randomized, Open-Label, Phase III Trial of Decitabine Versus Patient Choice, With Physician Advice, of Either Supportive Care or Low-Dose Cytarabine for the Treatment of Older Patients With Newly Diagnosed Acute Myeloid Leukemiabreakdown →
2012818
15 201046
16
Cancer-associated metabolite 2-hydroxyglutarate accumulates in acute myelogenous leukemia with isocitrate dehydrogenase 1 and 2 mutationsbreakdown →
2010558
17 201056
18 200824
19 200729
20 200646

About Mark D. Minden

Mark D. Minden is a scholar working on Hematology, Genetics and Oncology, having authored 509 papers that have together received 23.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (244 papers), Chronic Myeloid Leukemia Treatments (89 papers), Acute Lymphoblastic Leukemia research (85 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (43 papers), Histone Deacetylase Inhibitors Research (42 papers), Chronic Lymphocytic Leukemia Research (39 papers), Hematopoietic Stem Cell Transplantation (34 papers) and Protein Degradation and Inhibitors (34 papers). The work is most often cited by research in Hematology (8.3k citations), Genetics (2.9k citations) and Oncology (7.0k citations). Mark D. Minden has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include John E. Dick, Tsvee Lapidot, Josef Vormoor, Christian Sirard, Barbara Murdoch, Michael A. Caligiuri, Trang Hoang, Julio Roberto Cáceres‐Cortés, Bruce M. Paterson and Aaron D. Schimmer. Their work appears in journals such as Blood, Leukemia Research, Leukemia, Cancer Research and British Journal of Haematology.

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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