Nina Lang

16 papers and 300 indexed citations i.

About

Nina Lang is a scholar working on Oncology, General Health Professions and Molecular Biology. According to data from OpenAlex, Nina Lang has authored 16 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in General Health Professions and 2 papers in Molecular Biology. Recurrent topics in Nina Lang’s work include Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). Nina Lang is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). Nina Lang collaborates with scholars based in Germany, Norway and United States. Nina Lang's co-authors include Dagmar Amtmann, Alyssa M. Bamer, Karon F. Cook, Vanessa K. Noonan, Jiseon Kim, Alexander Enk, Jessica C. Hassel, Antonia Dimitrakopoulou‐Strauss, Alla Slynko and Carsten Schulz and has published in prestigious journals such as PEDIATRICS, European Journal of Cancer and OncoImmunology.

In The Last Decade

Co-authorship network of co-authors of Nina Lang i

Fields of papers citing papers by Nina Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Nina Lang

Since Specialization
Citations

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).

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.

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2025