Max Klapholz
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Galectins and Cancer Biology
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Immune Cell Function and Interaction 3
- interferon and immune responses 2
- Immunotherapy and Immune Responses 2
- Oncology 4
- Cancer Immunotherapy and Biomarkers 4
- CAR-T cell therapy research 2
- Co-authors
- Ana Carrizosa Anderson (5 shared papers)Vijay Kumar Kuchroo (3 shared papers)Asaf Madi (2 shared papers)Orit Rozenblatt–Rosen (2 shared papers)Elena Christian (2 shared papers)Giulia Escobar (2 shared papers)Aviv Regev (2 shared papers)Junrong Xia (2 shared papers)
- Journals
- Immunity (4 papers)Molecular Pharmacology (1 paper)The Journal of Pathology (1 paper)OncoImmunology (1 paper)Current Opinion in Microbiology (1 paper)
- Partner nations
- United StatesIsraelCzechia
In The Last Decade
Max Klapholz
9 papers receiving 870 citations
Max Klapholz's Hit Papers
Peers
Comparison fields: 5 of 77
- Immunology 493
- Oncology 490
- Cancer Research 52
- Biological Psychiatry 8
- Pathology and Forensic Medicine 51
Countries citing papers authored by Max Klapholz
This map shows the geographic impact of Max Klapholz'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 Max Klapholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Klapholz more than expected).
Fields of papers citing papers by Max Klapholz
This network shows the impact of papers produced by Max Klapholz. 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 Max Klapholz. The network helps show where Max Klapholz may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Klapholz, 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 | Checkpoint Blockade Immunotherapy Induces Dynamic Changes in PD-1−CD8+ Tumor-Infiltrating T Cells Hit paper breakdown → | 2019 | 432 |
| 2 | 2020 | 174 | |
| 3 | 2017 | 85 | |
| 4 | 2022 | 68 | |
| 5 | 2023 | 49 | |
| 6 | 2020 | 37 | |
| 7 | 2022 | 28 | |
| 8 | 2020 | 7 | |
| 9 | 2021 | 1 |
About Max Klapholz
Max Klapholz is a scholar working on Immunology, Oncology, Pathology and Forensic Medicine, Pharmacology and Genetics, having authored 9 papers that have together received 881 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (3 papers), Cancer Mechanisms and Therapy (2 papers), interferon and immune responses (2 papers), CAR-T cell therapy research (2 papers), Immunotherapy and Immune Responses (2 papers), Chromatin Remodeling and Cancer (1 paper) and Probiotics and Fermented Foods (1 paper). The work is most often cited by research in Immunology (493 citations), Oncology (490 citations), Cancer Research (52 citations), Biological Psychiatry (8 citations) and Pathology and Forensic Medicine (51 citations). Max Klapholz has collaborated with scholars based in United States, Israel and Czechia. Frequent co-authors include Ana Carrizosa Anderson, Vijay Kumar Kuchroo, Asaf Madi, Orit Rozenblatt–Rosen, Elena Christian, Giulia Escobar, Aviv Regev, Junrong Xia, Danielle A. Dionne and Mathias Pawlak. Their work appears in journals such as Immunity, Molecular Pharmacology, The Journal of Pathology, OncoImmunology and Current Opinion in Microbiology.
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.