Eric R. Lechman
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 2%
- MicroRNA in disease regulation
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 7
- Hematopoietic Stem Cell Transplantation 6
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- MicroRNA in disease regulation 12
- Co-authors
- Paul D. RobbinsJohn E. DickChristopher H. EvansKolja EppertSteven C. GhivizzaniZhibao MiRajasree MenonNicole R. Bianco
- Journals
- Blood (16 papers)Molecular Therapy (4 papers)The Journal of Immunology (4 papers)Cell stem cell (4 papers)Gene Therapy (3 papers)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Eric R. Lechman
52 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Hematology 827
- Cancer Research 737
- Immunology 799
- Molecular Biology 2.2k
- Rheumatology 485
Countries citing papers authored by Eric R. Lechman
This map shows the geographic impact of Eric R. Lechman'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 Eric R. Lechman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric R. Lechman more than expected).
Fields of papers citing papers by Eric R. Lechman
This network shows the impact of papers produced by Eric R. Lechman. 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 Eric R. Lechman. The network helps show where Eric R. Lechman may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric R. Lechman, 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 | 2021 | 56 | |
| 2 | 2019 | 6 | |
| 3 | 2019 | 10 | |
| 4 | 2019 | 0 | |
| 5 | 2016 | 6 | |
| 6 | 2014 | 53 | |
| 7 | 2012 | 154 | |
| 8 | Stem cell gene expression programs influence clinical outcome in human leukemia Hit paper breakdown → | 2011 | 740 |
| 9 | 2010 | 209 | |
| 10 | 2008 | 52 | |
| 11 | 2006 | 20 | |
| 12 | 2005 | 180 | |
| 13 | 2003 | 28 | |
| 14 | 2003 | 82 | |
| 15 | 2003 | 60 | |
| 16 | 2000 | 76 | |
| 17 | 1999 | 87 | |
| 18 | Review Lessons learned from gene transfer approaches | 1999 | 1 |
| 19 | 1997 | 68 | |
| 20 | 1994 | 24 |
About Eric R. Lechman
Eric R. Lechman is a scholar working on Hematology, Cancer Research, Molecular Biology, Genetics and Geriatrics and Gerontology, having authored 55 papers that have together received 3.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), RNA Interference and Gene Delivery (15 papers), MicroRNA in disease regulation (12 papers), Acute Myeloid Leukemia Research (7 papers), Viral Infections and Immunology Research (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Extracellular vesicles in disease (6 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Hematology (827 citations), Cancer Research (737 citations), Immunology (799 citations), Molecular Biology (2.2k citations) and Rheumatology (485 citations). Eric R. Lechman has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Paul D. Robbins, John E. Dick, Christopher H. Evans, Kolja Eppert, Steven C. Ghivizzani, Zhibao Mi, Rajasree Menon, Nicole R. Bianco, Peter van Galen and Joan Nash. Their work appears in journals such as Blood, Molecular Therapy, The Journal of Immunology, Cell stem cell and Gene Therapy.
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.