Nina Lang
Impact in
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Polyomavirus and related diseases
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- Multiple Sclerosis Research Studies
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 5
- CAR-T cell therapy research 3
- Colorectal Cancer Treatments and Studies 2
- Co-authors
- Alyssa M. Bamer (1 shared paper)Dagmar Amtmann (1 shared paper)Karon F. Cook (1 shared paper)Vanessa K. Noonan (1 shared paper)Jiseon Kim (1 shared paper)Alexander Enk (4 shared papers)Jessica C. Hassel (4 shared papers)Antonia Dimitrakopoulou‐Strauss (2 shared papers)
- Journals
- European Journal of Cancer (1 paper)OncoImmunology (1 paper)Rehabilitation Psychology (1 paper)PEDIATRICS (1 paper)Journal of Immunotherapy (1 paper)
- Partner nations
- GermanyNorwayUnited States
In The Last Decade
Nina Lang
14 papers receiving 375 citations
Peers
Comparison fields: 5 of 78
- Oncology 154
- Pathology and Forensic Medicine 98
- Transplantation 13
- Psychiatry and Mental health 66
- Immunology 83
Countries citing papers authored by Nina Lang
This map shows the geographic impact of Nina Lang'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 Nina Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Lang more than expected).
Fields of papers citing papers by Nina Lang
This network shows the impact of papers produced by Nina Lang. 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 Nina Lang. The network helps show where Nina Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Nina Lang, 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 | 2012 | 143 | |
| 2 | 2016 | 49 | |
| 3 | 2021 | 47 | |
| 4 | 2016 | 43 | |
| 5 | 2019 | 41 | |
| 6 | 2017 | 27 | |
| 7 | 2018 | 13 | |
| 8 | 1995 | 4 | |
| 9 | 2020 | 3 | |
| 10 | 2017 | 2 | |
| 11 | 2017 | 2 | |
| 12 | Accuracy of automated attenuation-based 3-dimensional segmentation: in the analysis of left ventricular function compared with magnetic resonance imaging. | 2012 | 2 |
| 13 | Empower the nurse: a time for renewal. | 1988 | 1 |
| 14 | 2014 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2007 | 1 | |
| 17 | 2013 | 0 |
About Nina Lang
Nina Lang is a scholar working on Oncology, Social Psychology, General Health Professions, Molecular Biology and Pathology and Forensic Medicine, having authored 17 papers that have together received 380 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Immunotherapy and Immune Responses (2 papers), Cardiac Health and Mental Health (2 papers), Medical Imaging Techniques and Applications (1 paper), Patient-Provider Communication in Healthcare (1 paper) and Health, psychology, and well-being (1 paper). The work is most often cited by research in Oncology (154 citations), Pathology and Forensic Medicine (98 citations), Transplantation (13 citations), Psychiatry and Mental health (66 citations) and Immunology (83 citations). Nina Lang has collaborated with scholars based in Germany, Norway and United States. Frequent co-authors include Alyssa M. Bamer, Dagmar Amtmann, Karon F. Cook, Vanessa K. Noonan, Jiseon Kim, Alexander Enk, Jessica C. Hassel, Antonia Dimitrakopoulou‐Strauss, Alla Slynko and Carsten Schulz. Their work appears in journals such as European Journal of Cancer, OncoImmunology, Rehabilitation Psychology, PEDIATRICS and Journal of Immunotherapy.
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.