Mark Klinger
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
- Immunology 15
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 9
- Immunodeficiency and Autoimmune Disorders 3
- Genetics 7
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Malek Faham (14 shared papers)Lawrence H. Fong (2 shared papers)Antoni Ribas (1 shared paper)Craig A. Cummings (1 shared paper)Edward Cha (1 shared paper)Yafei Hou (1 shared paper)Robert J. Kay (5 shared papers)Ryan Emerson (2 shared papers)
- Journals
- Blood (5 papers)The Journal of Immunology (3 papers)Oncogene (3 papers)PLoS ONE (3 papers)Transplantation and Cellular Therapy (2 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Mark Klinger
32 papers receiving 2.9k citations
Mark Klinger's Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 926
- Neurology 564
- Oncology 790
- Hematology 328
- Infectious Diseases 402
Countries citing papers authored by Mark Klinger
This map shows the geographic impact of Mark Klinger'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 Mark Klinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Klinger more than expected).
Fields of papers citing papers by Mark Klinger
This network shows the impact of papers produced by Mark Klinger. 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 Mark Klinger. The network helps show where Mark Klinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Klinger, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiple early factors anticipate post-acute COVID-19 sequelae Hit paper breakdown → | 2022 | 817 |
| 2 | 2017 | 363 | |
| 3 | 2014 | 337 | |
| 4 | 2016 | 206 | |
| 5 | 2014 | 117 | |
| 6 | 2012 | 103 | |
| 7 | 2001 | 101 | |
| 8 | 2015 | 98 | |
| 9 | 2016 | 84 | |
| 10 | 2000 | 74 | |
| 11 | 2013 | 68 | |
| 12 | 2008 | 62 | |
| 13 | 2009 | 59 | |
| 14 | 2013 | 59 | |
| 15 | 2006 | 58 | |
| 16 | 2022 | 55 | |
| 17 | 2009 | 49 | |
| 18 | 2015 | 44 | |
| 19 | 2004 | 33 | |
| 20 | 2013 | 30 |
About Mark Klinger
Mark Klinger is a scholar working on Immunology, Genetics, Hematology, Cancer Research and Oncology, having authored 32 papers that have together received 2.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), CAR-T cell therapy research (5 papers), Cancer Genomics and Diagnostics (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Immunology (926 citations), Neurology (564 citations), Oncology (790 citations), Hematology (328 citations) and Infectious Diseases (402 citations). Mark Klinger has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Malek Faham, Lawrence H. Fong, Antoni Ribas, Craig A. Cummings, Edward Cha, Yafei Hou, Robert J. Kay, Ryan Emerson, Harlan S. Robins and Marissa Vignali. Their work appears in journals such as Blood, The Journal of Immunology, Oncogene, PLoS ONE and Transplantation and Cellular Therapy.
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.