John Higgins
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 13
- Complement system in diseases 4
- Immune Cell Function and Interaction 3
- Immune Response and Inflammation 3
- Immunodeficiency and Autoimmune Disorders 2
- T-cell and B-cell Immunology 2
- Co-authors
- Edward S. Mocarski (1 shared paper)Judith A. Shizuru (1 shared paper)Andrew BitMansour (1 shared paper)Philipp Dahm (1 shared paper)Zhen Su (1 shared paper)Janice M. Brown (1 shared paper)Eli Gilboa (1 shared paper)Johannes Vieweg (1 shared paper)
- Journals
- Digestive Diseases and Sciences (2 papers)Cytokine (2 papers)Blood (2 papers)Journal of Nephrology (1 paper)Cancer (1 paper)
- Partner nations
- United StatesUnited KingdomIraq
In The Last Decade
John Higgins
16 papers receiving 462 citations
Peers
Comparison fields: 5 of 54
- Immunology 253
- Hematology 70
- Oncology 100
- Dermatology 29
- Molecular Biology 204
Countries citing papers authored by John Higgins
This map shows the geographic impact of John Higgins'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 John Higgins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Higgins more than expected).
Fields of papers citing papers by John Higgins
This network shows the impact of papers produced by John Higgins. 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 John Higgins. The network helps show where John Higgins may publish in the future.
Co-authors
The 25 scholars most cited alongside John Higgins, 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 | Enhanced induction of telomerase-specific CD4(+) T cells using dendritic cells transfected with RNA encoding a chimeric gene product. | 2002 | 101 |
| 2 | 2012 | 100 | |
| 3 | 2003 | 82 | |
| 4 | 2008 | 75 | |
| 5 | 2016 | 25 | |
| 6 | 1999 | 18 | |
| 7 | 2018 | 16 | |
| 8 | 2001 | 14 | |
| 9 | 2015 | 13 | |
| 10 | 2019 | 10 | |
| 11 | 2013 | 6 | |
| 12 | 2018 | 3 | |
| 13 | 2019 | 2 | |
| 14 | 2015 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2016 | 0 | |
| 18 | 2016 | 0 |
About John Higgins
John Higgins is a scholar working on Immunology, Molecular Biology, Nephrology, Oncology and Hematology, having authored 18 papers that have together received 470 indexed citations. Recurring topics across this work include Complement system in diseases (4 papers), Immune Cell Function and Interaction (3 papers), Renal Diseases and Glomerulopathies (3 papers), Immune Response and Inflammation (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Adenosine and Purinergic Signaling (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (253 citations), Hematology (70 citations), Oncology (100 citations), Dermatology (29 citations) and Molecular Biology (204 citations). John Higgins has collaborated with scholars based in United States, United Kingdom and Iraq. Frequent co-authors include Edward S. Mocarski, Judith A. Shizuru, Andrew BitMansour, Philipp Dahm, Zhen Su, Janice M. Brown, Eli Gilboa, Johannes Vieweg, David Boczkowski and Irving L. Weissman. Their work appears in journals such as Digestive Diseases and Sciences, Cytokine, Blood, Journal of Nephrology and Cancer.
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.