Michael Andreeff

74.1k citations
1.0k papers · 48.1k indexed · 12 hit papers · h-index 112

Michael Andreeff

978 papers receiving 47.2k citations

Hit Papers

Bone marro...30519842026199820122505007501000

Peers

Michael Andreeff
Comparison fields: 5 of 165
  • Hematology 16.0k
  • Genetics 10.3k
  • Oncology 13.6k
  • Cancer Research 7.3k
  • Molecular Biology 25.9k
Replace Charles L. Sawyers with:
Charles L. Sawyers United States
Marina Konopleva United States
Razelle Kurzrock United States
Francis J. Giles United States
Paul G. Richardson United States
Brian Druker United States
Nikhil C. Munshi United States
Pier Giuseppe Pelicci Italy
Elihu H. Estey United States
James D. Griffin United States
Michael Andreeff relative to Charles L. Sawyers United States Charles L. Sawyers's profile →
Citations per field
00.5×1.5×
Charles L. Sawyers · 1×
Citations per year

Countries citing papers authored by Michael Andreeff

Since Specialization
Citations

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

Fields of papers citing papers by Michael Andreeff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202211
2 201949
3 201871
4 201844
5 201752
6 201652
7 201442
8 201383
9 201374
10 201322
11 2012197
12 2011143
13 201039
14 201067
15 201022
16 201060
17 201058
18 2009192
19 2008215
20 2008397

About Michael Andreeff

Michael Andreeff is a scholar working on Hematology, Genetics and Oncology, having authored 1.0k papers that have together received 48.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (413 papers), Chronic Lymphocytic Leukemia Research (134 papers), Chronic Myeloid Leukemia Treatments (126 papers), Acute Lymphoblastic Leukemia research (107 papers), Cell death mechanisms and regulation (106 papers), RNA Interference and Gene Delivery (78 papers), Protein Degradation and Inhibitors (77 papers) and Cancer-related Molecular Pathways (71 papers). The work is most often cited by research in Hematology (16.0k citations), Genetics (10.3k citations) and Oncology (13.6k citations). Michael Andreeff has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Marina Konopleva, Hagop M. Kantarjian, Frank C. Marini, Steven M. Kornblau, Erika L. Spaeth, Jörge E. Cortes, Ismael Samudio, Ann H. Klopp, Teresa McQueen and Jennifer L. Dembinski. Their work appears in journals such as Blood, Cancer Research, Journal of Clinical Oncology, Leukemia and Cancer.

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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