Jamie Erickson
Impact in
Papers in
- Immunology 12
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 5
- Atherosclerosis and Cardiovascular Diseases 3
- T-cell and B-cell Immunology 2
- Immune Response and Inflammation 2
- Oncology 6
- CAR-T cell therapy research 3
- Co-authors
- Jeffrey D. Rothstein (1 shared paper)Louis J. DeGennaro (1 shared paper)Nicholas J. Maragakis (1 shared paper)George Psaltis (1 shared paper)Don W. Cleveland (1 shared paper)Benjamin Kim (1 shared paper)David Howland (1 shared paper)John Kulik (1 shared paper)
- Journals
- Blood (3 papers)Microcirculation (3 papers)Hepatology (1 paper)mAbs (1 paper)Clinical Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jamie Erickson
16 papers receiving 1.3k citations
Jamie Erickson's Hit Papers
Peers
Comparison fields: 5 of 85
- Neurology 511
- Genetics 306
- Neurology 162
- Immunology 389
- Oncology 304
Countries citing papers authored by Jamie Erickson
This map shows the geographic impact of Jamie Erickson'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 Jamie Erickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Erickson more than expected).
Fields of papers citing papers by Jamie Erickson
This network shows the impact of papers produced by Jamie Erickson. 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 Jamie Erickson. The network helps show where Jamie Erickson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamie Erickson, 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 | Focal loss of the glutamate transporter EAAT2 in a transgenic rat model of SOD1 mutant-mediated amyotrophic lateral sclerosis (ALS) Hit paper breakdown → | 2002 | 661 |
| 2 | 2002 | 238 | |
| 3 | 2002 | 63 | |
| 4 | 1999 | 61 | |
| 5 | 2009 | 59 | |
| 6 | 1999 | 51 | |
| 7 | 2012 | 41 | |
| 8 | 1999 | 40 | |
| 9 | 2018 | 36 | |
| 10 | 2002 | 21 | |
| 11 | 2006 | 17 | |
| 12 | 2002 | 13 | |
| 13 | 2001 | 10 | |
| 14 | 2020 | 5 | |
| 15 | 2001 | 1 | |
| 16 | 2018 | 1 |
About Jamie Erickson
Jamie Erickson is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pharmacology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (5 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (2 papers), Immune Response and Inflammation (2 papers) and Parasites and Host Interactions (1 paper). The work is most often cited by research in Neurology (511 citations), Genetics (306 citations), Neurology (162 citations), Immunology (389 citations) and Oncology (304 citations). Jamie Erickson has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jeffrey D. Rothstein, Louis J. DeGennaro, Nicholas J. Maragakis, George Psaltis, Don W. Cleveland, Benjamin Kim, David Howland, John Kulik, Jian Liu and Edward Greenfield. Their work appears in journals such as Blood, Microcirculation, Hepatology, mAbs and Clinical Immunology.
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.