Eric J. Gars
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
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- Cancer Genomics and Diagnostics
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 4
- Autoimmune and Inflammatory Disorders Research 3
- Genetics 5
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Ravindra Majeti (4 shared papers)Shahin Rafii (3 shared papers)Anja Mezger (1 shared paper)Lisa McGinnis (1 shared paper)Jeffrey M. Granja (1 shared paper)Arwa S. Kathiria (1 shared paper)Sandy Klemm (1 shared paper)Grace Zheng (1 shared paper)
- Journals
- Blood (3 papers)Experimental Hematology (1 paper)Cancer Discovery (1 paper)Nature Biotechnology (1 paper)Cytometry Part B Clinical Cytometry (1 paper)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Eric J. Gars
15 papers receiving 661 citations
Peers
Comparison fields: 5 of 57
- Hematology 202
- Cancer Research 123
- Genetics 79
- Immunology 160
- Molecular Biology 373
Countries citing papers authored by Eric J. Gars
This map shows the geographic impact of Eric J. Gars'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 J. Gars with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric J. Gars more than expected).
Fields of papers citing papers by Eric J. Gars
This network shows the impact of papers produced by Eric J. Gars. 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 J. Gars. The network helps show where Eric J. Gars may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric J. Gars, 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 | 2019 | 273 | |
| 2 | 2012 | 74 | |
| 3 | 2012 | 72 | |
| 4 | 2014 | 49 | |
| 5 | 2018 | 44 | |
| 6 | 2023 | 34 | |
| 7 | 2019 | 33 | |
| 8 | 2020 | 21 | |
| 9 | 2015 | 21 | |
| 10 | 2021 | 16 | |
| 11 | 2024 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 4 | |
| 14 | 2010 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2025 | 0 |
About Eric J. Gars
Eric J. Gars is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Infectious Diseases, having authored 17 papers that have together received 665 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (4 papers), Parvovirus B19 Infection Studies (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Immune Cell Function and Interaction (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (202 citations), Cancer Research (123 citations), Genetics (79 citations), Immunology (160 citations) and Molecular Biology (373 citations). Eric J. Gars has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Ravindra Majeti, Shahin Rafii, Anja Mezger, Lisa McGinnis, Jeffrey M. Granja, Arwa S. Kathiria, Sandy Klemm, Grace Zheng, William J. Greenleaf and Benjamin Parks. Their work appears in journals such as Blood, Experimental Hematology, Cancer Discovery, Nature Biotechnology and Cytometry Part B Clinical Cytometry.
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.