Michael Pearlman

1.2k total citations
9 papers, 117 citations indexed

About

Michael Pearlman is a scholar working on Oncology, Neurology and Molecular Biology. According to data from OpenAlex, Michael Pearlman has authored 9 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Michael Pearlman's work include Autoimmune Neurological Disorders and Treatments (3 papers), Glioma Diagnosis and Treatment (2 papers) and Neurological disorders and treatments (2 papers). Michael Pearlman is often cited by papers focused on Autoimmune Neurological Disorders and Treatments (3 papers), Glioma Diagnosis and Treatment (2 papers) and Neurological disorders and treatments (2 papers). Michael Pearlman collaborates with scholars based in United States, United Kingdom and China. Michael Pearlman's co-authors include Afsaneh Keyhani, Emil J. Freireich, Lance C. Pagliaro, Elihu H. Estey, Sherry Pierce, Yang O. Huh, Hagop M. Kantarjian, Tribhawan S. Vats, Soumen Khatua and Zsila Sadighi and has published in prestigious journals such as Neurology, Neuro-Oncology and Cancer Chemotherapy and Pharmacology.

In The Last Decade

Michael Pearlman

9 papers receiving 111 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Pearlman United States 5 36 32 29 26 20 9 117
Sarah M. Lo United States 5 9 0.3× 50 1.6× 8 0.3× 16 0.6× 7 0.3× 5 160
Nobuo Sezaki Japan 7 11 0.3× 23 0.7× 18 0.6× 48 1.8× 2 0.1× 13 104
Martyn Ronald Schaafsma Netherlands 6 55 1.5× 62 1.9× 70 2.4× 28 1.1× 6 0.3× 11 176
Grzegorz Charliński Poland 8 62 1.7× 56 1.8× 21 0.7× 70 2.7× 23 132
Kayleen Bailey United States 5 29 0.8× 79 2.5× 14 0.5× 27 1.0× 10 136
Krista M. Isaac United States 6 32 0.9× 22 0.7× 61 2.1× 23 0.9× 1 0.1× 11 105
Evridiki Michalis Greece 4 30 0.8× 40 1.3× 24 0.8× 31 1.2× 7 84
Elen Oliveira Brazil 4 35 1.0× 24 0.8× 14 0.5× 33 1.3× 2 0.1× 5 100
Betty Prine United States 5 33 0.9× 34 1.1× 51 1.8× 40 1.5× 2 0.1× 6 112
Carine Torset France 4 25 0.7× 56 1.8× 46 1.6× 45 1.7× 2 0.1× 5 165

Countries citing papers authored by Michael Pearlman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pearlman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Pearlman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Pearlman. A scholar is included among the top collaborators of Michael Pearlman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Pearlman. Michael Pearlman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
O’Connor, Kevin C., Richard J. Nowak, Minh Pham, et al.. (2023). Remission of severe myasthenia gravis after autologous stem cell transplantation. Annals of Clinical and Translational Neurology. 10(11). 2105–2113. 1 indexed citations
2.
Bota, Daniela A., Nicholas Butowski, David Piccioni, et al.. (2021). CTNI-08. DB102-01 ENGAGE STUDY: A BIOMARKER-GUIDED, RANDOMIZED, DOUBLE-BLIND, PLACEBO-CONTROLLED, MULTI-CENTER PHASE 3 CLINICAL TRIAL OF DB102 IN PATIENTS WITH NEWLY DIAGNOSED GLIOBLASTOMA (GBM). Neuro-Oncology. 23(Supplement_6). vi60–vi60. 1 indexed citations
3.
Georges, George E., Peter A. McSweeney, James D. Bowen, et al.. (2018). Autologous Hematopoietic Stem Cell Transplantation May Be Highly Effective Treatment for Severe, Treatment Refractory Stiff Person Syndrome (S31.007). Neurology. 90(15_supplement). 4 indexed citations
4.
Georges, George E., James D. Bowen, Michael Pearlman, et al.. (2018). Autologous Hematopoietic Stem Cell Transplantation May be Highly Effective Treatment for Severe Stiff Person Syndrome. Biology of Blood and Marrow Transplantation. 24(3). S120–S120. 6 indexed citations
5.
Shih, Kent C., Gerald S. Falchook, Kevin Becker, et al.. (2016). ACTR-45. A PHASE IB STUDY EVALUATING THE C-MET INHIBITOR INC280 IN COMBINATION WITH BEVACIZUMAB IN GLIOBLASTOMA MULTIFORME (GBM) PATIENTS. Neuro-Oncology. 18(suppl_6). vi11–vi12. 1 indexed citations
6.
Khatua, Soumen, et al.. (2012). Brain Tumors in Children- Current Therapies and Newer Directions. The Indian Journal of Pediatrics. 79(7). 922–927. 20 indexed citations
7.
Pearlman, Michael, Lance C. Pagliaro, Afsaneh Keyhani, et al.. (2003). Dexrazoxane's protection of jejunal crypt cells in the jejunum of C3Hf/Kam mice from doxorubicin-induced toxicity. Cancer Chemotherapy and Pharmacology. 52(6). 477–481. 6 indexed citations
8.
Pearlman, Michael, et al.. (2003). Dexrazoxane in combination with anthracyclines lead to a synergistic cytotoxic response in acute myelogenous leukemia cell lines. Leukemia Research. 27(7). 617–626. 24 indexed citations
9.
Keyhani, Afsaneh, Yang O. Huh, Lance C. Pagliaro, et al.. (2000). Increased CD38 expression is associated with favorable prognosis in adult acute leukemia. Leukemia Research. 24(2). 153–159. 54 indexed citations

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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