Marina Pešić
- Molecular Biology
- Immunology top 10%
- Oncology top 10%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Florian R. GretenAdele M. NicolasFabian FinkelmeierÖzge CanliJ. R. P. GuptaOlga GoncharovaDavid HorstTobias Neumann
- Topics
- Cancer Immunotherapy and Biomarkers (4 papers)Psychotherapy Techniques and Applications (3 papers)Personality Traits and Psychology (3 papers)
- Cited by
- ImmunologyCancer ResearchOncology
- Journals
- NatureThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- SerbiaGermanyUnited States
In The Last Decade
Marina Pešić
21 papers receiving 822 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 348
- Immunology 273
- Oncology 245
- Cancer Research 181
- Pulmonary and Respiratory Medicine 176
Countries citing papers authored by Marina Pešić
This map shows the geographic impact of Marina Pešić'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 Marina Pešić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Pešić more than expected).
Fields of papers citing papers by Marina Pešić
This network shows the impact of papers produced by Marina Pešić. 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 Marina Pešić. The network helps show where Marina Pešić may publish in the future.
Co-authorship network of co-authors of Marina Pešić
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Pešić. A scholar is included among the top collaborators of Marina Pešić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marina Pešić. Marina Pešić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Combining ferroptosis induction with MDSC blockade renders primary tumours and metastases in liver sensitive to immune checkpoint blockadebreakdown → | 176 |
| 3 | 53 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 57 | |
| 9 | 15 | |
| 10 | 273 | |
| 11 | 109 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | Personality traits, coping styles and psychosomatic tendencies in students | 1 |
| 17 | 1 | |
| 18 | Transactional analysis and attachment theory: Differences and/or similarity | 2 |
| 19 | 10 | |
| 20 | Immunomodulation in vitro. The predictive value of in vitro testing of lung cancer patients' lymphocyte responsiveness to stimulation by Thymex L. A preliminary report. | 1 |
About Marina Pešić
Marina Pešić is a scholar working on Clinical Psychology, Immunology and Physiology, having authored 23 papers that have together received 833 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Psychotherapy Techniques and Applications (3 papers) and Personality Traits and Psychology (3 papers). The work is most often cited by research in Immunology (273 citations), Cancer Research (181 citations) and Oncology (245 citations). Marina Pešić has collaborated with scholars based in Serbia, Germany and United States. Frequent co-authors include Florian R. Greten, Adele M. Nicolas, Fabian Finkelmeier, Özge Canli, J. R. P. Gupta, Olga Goncharova, David Horst, Tobias Neumann, Uğur Şahin and Martin Löwer. Their work appears in journals such as Nature, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.