Lukas John
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
-
- Chemokine receptors and signaling
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Hematology 14
- Multiple Myeloma Research and Treatments 14
- Oncology 9
- Chemokine receptors and signaling 3
- Cancer Treatment and Pharmacology 2
- CAR-T cell therapy research 2
- Co-authors
- Niels Weinhold (10 shared papers)Marc S. Raab (10 shared papers)Klaus Podar (1 shared paper)Maria Theresa Krauth (1 shared paper)Marc‐Steffen Raab (2 shared papers)Alexandra M. Poos (6 shared papers)Hartmut Goldschmidt (8 shared papers)Anja Baumann (6 shared papers)
- Journals
- Blood (4 papers)Journal of the Science of Food and Agriculture (1 paper)Nature Communications (1 paper)Leukemia (1 paper)Blood Advances (1 paper)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Lukas John
18 papers receiving 205 citations
Peers
Comparison fields: 5 of 44
- Hematology 125
- Oncology 89
- Immunology 51
- Cancer Research 26
- Molecular Biology 113
Countries citing papers authored by Lukas John
This map shows the geographic impact of Lukas John'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 Lukas John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas John more than expected).
Fields of papers citing papers by Lukas John
This network shows the impact of papers produced by Lukas John. 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 Lukas John. The network helps show where Lukas John may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukas John, 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 | 2021 | 78 | |
| 2 | 2022 | 34 | |
| 3 | 2021 | 28 | |
| 4 | 2023 | 17 | |
| 5 | Head and neck squamous cell growth suppression using adenovirus-p53-FLAG: a potential marker for gene therapy trials. | 1997 | 13 |
| 6 | 2024 | 8 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2017 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Lukas John
Lukas John is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Immunology, having authored 20 papers that have together received 210 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (14 papers), Protein Degradation and Inhibitors (3 papers), Chemokine receptors and signaling (3 papers), Cancer Treatment and Pharmacology (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Hematological disorders and diagnostics (2 papers), CAR-T cell therapy research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Hematology (125 citations), Oncology (89 citations), Immunology (51 citations), Cancer Research (26 citations) and Molecular Biology (113 citations). Lukas John has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Niels Weinhold, Marc S. Raab, Klaus Podar, Maria Theresa Krauth, Marc‐Steffen Raab, Alexandra M. Poos, Hartmut Goldschmidt, Anja Baumann, Carsten Müller‐Tidow and Anja Seckinger. Their work appears in journals such as Blood, Journal of the Science of Food and Agriculture, Nature Communications, Leukemia and Blood Advances.
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.