John D. McMannis
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 28
- Immunology top 5%
- Immunotherapy and Immune Responses 14
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 7
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 9
- Mesenchymal stem cell research 7
- Oncology top 10%
- CAR-T cell therapy research 5
- Transplantation top 10%
-
- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Richard E. ChamplinSergio GiraltMarcos de LimaLisa S. St. JohnKrishna V. KomanduriChitra HosingJeffrey J. MolldremElizabeth J. Shpall
- Cited by
- HematologyImmunologyGenetics
- Journals
- Blood (23 papers)Biology of Blood and Marrow Transplantation (6 papers)Cancer Research (3 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
John D. McMannis
56 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 70
- Hematology 900
- Immunology 605
- Genetics 270
- Oncology 420
- Transplantation 40
Countries citing papers authored by John D. McMannis
This map shows the geographic impact of John D. McMannis'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 D. McMannis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. McMannis more than expected).
Fields of papers citing papers by John D. McMannis
This network shows the impact of papers produced by John D. McMannis. 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 D. McMannis. The network helps show where John D. McMannis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John D. McMannis, 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 | 2017 | 29 | |
| 2 | 2012 | 144 | |
| 3 | 2011 | 6 | |
| 4 | 2011 | 23 | |
| 5 | 2010 | 31 | |
| 6 | 2010 | 17 | |
| 7 | 2010 | 47 | |
| 8 | 2010 | 1 | |
| 9 | 2009 | 82 | |
| 10 | 2009 | 3 | |
| 11 | 2008 | 57 | |
| 12 | Systemic therapy with tumor suppressor FUS1-nanoparticles for stage IV lung cancer | 2007 | 7 |
| 13 | 2006 | 12 | |
| 14 | 2006 | 8 | |
| 15 | 2006 | 38 | |
| 16 | 2005 | 8 | |
| 17 | 2004 | 92 | |
| 18 | 2003 | 10 | |
| 19 | Generation and clinical useofleuimiaderived dendritic cell activated lymphocytes in patients with chronic myelogenous leukemia (CML) | 2000 | 2 |
| 20 | 1988 | 8 |
About John D. McMannis
John D. McMannis is a scholar working on Hematology, Genetics and Immunology, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (28 papers), Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (12 papers), Chronic Lymphocytic Leukemia Research (9 papers), Mesenchymal stem cell research (7 papers), T-cell and B-cell Immunology (7 papers), Lymphoma Diagnosis and Treatment (6 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Hematology (900 citations), Immunology (605 citations) and Genetics (270 citations). John D. McMannis has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Richard E. Champlin, Sergio Giralt, Marcos de Lima, Lisa S. St. John, Krishna V. Komanduri, Chitra Hosing, Jeffrey J. Molldrem, Elizabeth J. Shpall, Eric Wieder and Rima M. Saliba. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Cancer Research, Transfusion and British Journal of Haematology.
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.