Ian M. Kaplan
Impact in
- Neurology top 5%
- Myasthenia Gravis and Thymoma
- Neuroblastoma Research and Treatments
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- Chronic Myeloid Leukemia Treatments 4
- Acute Myeloid Leukemia Research 4
- Hematopoietic Stem Cell Transplantation 3
-
- RNA Interference and Gene Delivery 3
- RNA Research and Splicing 3
- Co-authors
- Steven F. Dowdy (2 shared papers)Jehangir S. Wadia (1 shared paper)Curt I. Civin (8 shared papers)Sebastien Morisot (5 shared papers)Richard Hildreth (3 shared papers)Michael A. McDevitt (1 shared paper)Xiaobing Yu (1 shared paper)Jonathan K. Alder (1 shared paper)
- Journals
- Blood (3 papers)The Journal of Immunology (2 papers)PLoS ONE (2 papers)Molecular Cancer Research (1 paper)Journal of Clinical Pathology (1 paper)
- Partner nations
- United StatesGermanyUkraine
In The Last Decade
Ian M. Kaplan
16 papers receiving 1.2k citations
Ian M. Kaplan's Hit Papers
Peers
Comparison fields: 5 of 73
- Neurology 220
- Microbiology 79
- Molecular Biology 775
- Hematology 115
- Immunology 202
Countries citing papers authored by Ian M. Kaplan
This map shows the geographic impact of Ian M. Kaplan'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 Ian M. Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian M. Kaplan more than expected).
Fields of papers citing papers by Ian M. Kaplan
This network shows the impact of papers produced by Ian M. Kaplan. 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 Ian M. Kaplan. The network helps show where Ian M. Kaplan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian M. Kaplan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Cationic TAT peptide transduction domain enters cells by macropinocytosis Hit paper breakdown → | 2004 | 560 |
| 2 | Pembrolizumab in patients with thymic carcinoma: a single-arm, single-centre, phase 2 study Hit paper breakdown → | 2018 | 277 |
| 3 | 2008 | 169 | |
| 4 | 2005 | 66 | |
| 5 | 2012 | 65 | |
| 6 | 2010 | 37 | |
| 7 | 2012 | 25 | |
| 8 | 2011 | 23 | |
| 9 | 2014 | 6 | |
| 10 | 2011 | 5 | |
| 11 | 2021 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2008 | 3 | |
| 14 | 2018 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2010 | 1 |
About Ian M. Kaplan
Ian M. Kaplan is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Genetics, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (4 papers), Acute Myeloid Leukemia Research (4 papers), Immunotherapy and Immune Responses (3 papers), RNA Interference and Gene Delivery (3 papers), CAR-T cell therapy research (3 papers), RNA Research and Splicing (3 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Neurology (220 citations), Microbiology (79 citations), Molecular Biology (775 citations), Hematology (115 citations) and Immunology (202 citations). Ian M. Kaplan has collaborated with scholars based in United States, Germany and Ukraine. Frequent co-authors include Steven F. Dowdy, Jehangir S. Wadia, Curt I. Civin, Sebastien Morisot, Richard Hildreth, Michael A. McDevitt, Xiaobing Yu, Jonathan K. Alder, Robert W. Georgantas and Robin Mogg. Their work appears in journals such as Blood, The Journal of Immunology, PLoS ONE, Molecular Cancer Research and Journal of Clinical Pathology.
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.