Tim E. Hawkins
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 5
- Chronic Lymphocytic Leukemia Research 4
-
- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Stephen E. Moss (5 shared papers)Kathryn S. Kolibaba (6 shared papers)Patrick Wood (6 shared papers)David Simpson (6 shared papers)John M. Burke (6 shared papers)Samar Issa (6 shared papers)Brad S. Kahl (6 shared papers)David A. Macdonald (6 shared papers)
- Journals
- Blood (4 papers)American Journal of Hematology (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Journal of Clinical Oncology (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- New ZealandUnited StatesAustralia
In The Last Decade
Tim E. Hawkins
14 papers receiving 1.0k citations
Tim E. Hawkins's Hit Papers
Peers
Comparison fields: 5 of 59
- Pathology and Forensic Medicine 722
- Genetics 316
- Oncology 491
- Neurology 161
- Reproductive Medicine 56
Countries citing papers authored by Tim E. Hawkins
This map shows the geographic impact of Tim E. Hawkins'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 Tim E. Hawkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim E. Hawkins more than expected).
Fields of papers citing papers by Tim E. Hawkins
This network shows the impact of papers produced by Tim E. Hawkins. 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 Tim E. Hawkins. The network helps show where Tim E. Hawkins may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim E. Hawkins, 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 | Randomized trial of bendamustine-rituximab or R-CHOP/R-CVP in first-line treatment of indolent NHL or MCL: the BRIGHT study Hit paper breakdown → | 2014 | 510 |
| 2 | 2019 | 226 | |
| 3 | 1999 | 64 | |
| 4 | 2000 | 53 | |
| 5 | 2002 | 52 | |
| 6 | 1999 | 49 | |
| 7 | 2012 | 28 | |
| 8 | 1998 | 18 | |
| 9 | 2016 | 18 | |
| 10 | 2017 | 14 | |
| 11 | 1993 | 6 | |
| 12 | 2012 | 5 | |
| 13 | 2000 | 4 | |
| 14 | 1992 | 4 |
About Tim E. Hawkins
Tim E. Hawkins is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Neurology and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), S100 Proteins and Annexins (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Ion channel regulation and function (2 papers), Neonatal Respiratory Health Research (2 papers), Acute Myeloid Leukemia Research (1 paper), Autoimmune and Inflammatory Disorders Research (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (722 citations), Genetics (316 citations), Oncology (491 citations), Neurology (161 citations) and Reproductive Medicine (56 citations). Tim E. Hawkins has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Stephen E. Moss, Kathryn S. Kolibaba, Patrick Wood, David Simpson, John M. Burke, Samar Issa, Brad S. Kahl, David A. Macdonald, Ian W. Flinn and Richard van der Jagt. Their work appears in journals such as Blood, American Journal of Hematology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Journal of Clinical Oncology and Molecular and Cellular Biology.
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.