James Hilger
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
Papers in
- Genetics 22
- Chronic Lymphocytic Leukemia Research 22
- Hematology 18
- Multiple Myeloma Research and Treatments 11
- Chronic Myeloid Leukemia Treatments 6
- Co-authors
- Constantine S. Tam (19 shared papers)Jane Huang (10 shared papers)Stephen Opat (15 shared papers)James R. Berenson (10 shared papers)Regina A. Swift (10 shared papers)Youram Nassir (10 shared papers)Robert Vescio (9 shared papers)David Simpson (10 shared papers)
- Journals
- Blood (18 papers)Journal of Clinical Oncology (5 papers)Hematological Oncology (5 papers)British Journal of Haematology (1 paper)HemaSphere (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
James Hilger
38 papers receiving 495 citations
Peers
Comparison fields: 5 of 62
- Genetics 272
- Hematology 214
- Pathology and Forensic Medicine 231
- Oncology 161
- Immunology 68
Countries citing papers authored by James Hilger
This map shows the geographic impact of James Hilger'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 James Hilger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Hilger more than expected).
Fields of papers citing papers by James Hilger
This network shows the impact of papers produced by James Hilger. 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 James Hilger. The network helps show where James Hilger may publish in the future.
Co-authors
The 25 scholars most cited alongside James Hilger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2020 | 56 | |
| 3 | 2014 | 55 | |
| 4 | 2013 | 34 | |
| 5 | 2011 | 25 | |
| 6 | 2016 | 23 | |
| 7 | 2009 | 22 | |
| 8 | 2016 | 19 | |
| 9 | 2023 | 16 | |
| 10 | 2010 | 15 | |
| 11 | 2008 | 15 | |
| 12 | 2023 | 15 | |
| 13 | 2017 | 15 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2012 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2021 | 7 |
About James Hilger
James Hilger is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 40 papers that have together received 501 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (22 papers), Lymphoma Diagnosis and Treatment (13 papers), Multiple Myeloma Research and Treatments (11 papers), Cancer Treatment and Pharmacology (6 papers), Protein Degradation and Inhibitors (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Lymphoblastic Leukemia research (5 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Genetics (272 citations), Hematology (214 citations), Pathology and Forensic Medicine (231 citations), Oncology (161 citations) and Immunology (68 citations). James Hilger has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Constantine S. Tam, Jane Huang, Stephen Opat, James R. Berenson, Regina A. Swift, Youram Nassir, Robert Vescio, David Simpson, Ori Yellin and Ralph V. Boccia. Their work appears in journals such as Blood, Journal of Clinical Oncology, Hematological Oncology, British Journal of Haematology and HemaSphere.
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.