Bethany Tesar
- Immunology top 2%
- Immune Response and Inflammation 8
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 7
- Immunodeficiency and Autoimmune Disorders 7
- Transplantation top 5%
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 19
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 5
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- Glycosylation and Glycoproteins Research 4
- Co-authors
- Daniel R. GoldsteinFadi G. LakkisShizuo AkiraWendy E. WalkerHua ShenScott M. PalmerJiurong LiangPaul W. Noble
- Cited by
- ImmunologyTransplantationGenetics
- Journals
- Blood (11 papers)The Journal of Immunology (4 papers)American Journal of Transplantation (3 papers)
- Partner nations
- United StatesBelgiumJapan
In The Last Decade
Bethany Tesar
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Immunology 995
- Transplantation 101
- Genetics 192
- Pathology and Forensic Medicine 149
- Epidemiology 222
Countries citing papers authored by Bethany Tesar
This map shows the geographic impact of Bethany Tesar'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 Bethany Tesar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bethany Tesar more than expected).
Fields of papers citing papers by Bethany Tesar
This network shows the impact of papers produced by Bethany Tesar. 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 Bethany Tesar. The network helps show where Bethany Tesar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bethany Tesar, 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 | 2018 | 15 | |
| 2 | 2017 | 1 | |
| 3 | 2016 | 62 | |
| 4 | 2015 | 31 | |
| 5 | 2014 | 3 | |
| 6 | 2013 | 12 | |
| 7 | 2012 | 59 | |
| 8 | Integrative Genomic Analysis Implicates Gain of PIK3CA at 3q26 and MYC at 8q24 in Chronic Lymphocytic Leukemia | 2012 | 3 |
| 9 | 2012 | 1 | |
| 10 | 2011 | 19 | |
| 11 | 2008 | 132 | |
| 12 | 2008 | 42 | |
| 13 | 2008 | 15 | |
| 14 | 2007 | 9 | |
| 15 | 2006 | 72 | |
| 16 | 2006 | 163 | |
| 17 | 2006 | 84 | |
| 18 | 2004 | 105 | |
| 19 | 2004 | 21 | |
| 20 | 2003 | 256 |
About Bethany Tesar
Bethany Tesar is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (19 papers), Immune Response and Inflammation (8 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Lymphoma Diagnosis and Treatment (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Immunology (995 citations), Transplantation (101 citations), Genetics (192 citations), Pathology and Forensic Medicine (149 citations) and Epidemiology (222 citations). Bethany Tesar has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include Daniel R. Goldstein, Fadi G. Lakkis, Shizuo Akira, Wendy E. Walker, Hua Shen, Scott M. Palmer, Jiurong Liang, Paul W. Noble, Dianhua Jiang and Jiasheng Zhang. Their work appears in journals such as Blood, The Journal of Immunology, American Journal of Transplantation, Clinical Cancer Research and Journal of Clinical Investigation.
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.