Max Jan

5.4k total citations · 3 hit papers
28 papers, 2.9k citations indexed

About

Max Jan is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Max Jan has authored 28 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Oncology and 12 papers in Hematology. Recurrent topics in Max Jan's work include CAR-T cell therapy research (12 papers), Acute Myeloid Leukemia Research (8 papers) and Protein Degradation and Inhibitors (8 papers). Max Jan is often cited by papers focused on CAR-T cell therapy research (12 papers), Acute Myeloid Leukemia Research (8 papers) and Protein Degradation and Inhibitors (8 papers). Max Jan collaborates with scholars based in United States, Spain and United Kingdom. Max Jan's co-authors include Ravindra Majeti, Irving L. Weissman, Ash A. Alizadeh, Mark P. Chao, Stephen R. Quake, Thomas M. Snyder, Paresh Vyas, Feifei Zhao, Chad Tang and M. Ryan Corces and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Max Jan

27 papers receiving 2.8k citations

Hit Papers

Anti-CD47 Antibody Synergizes with Rituximab to Promote P... 2010 2026 2015 2020 2010 2012 2022 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Max Jan United States 14 1.4k 1.1k 1.0k 724 287 28 2.9k
Armin Ehninger Germany 25 659 0.5× 1.3k 1.2× 925 0.9× 495 0.7× 89 0.3× 42 2.4k
Kristin J. Hope Canada 17 573 0.4× 1.1k 1.0× 1.6k 1.6× 1.2k 1.6× 74 0.3× 38 2.9k
Fabiana Perna United States 20 643 0.5× 1.5k 1.3× 1.3k 1.3× 446 0.6× 59 0.2× 62 2.7k
Jana Krošl Canada 24 430 0.3× 435 0.4× 1.3k 1.3× 777 1.1× 128 0.4× 38 2.1k
Richard W.J. Groen Netherlands 28 830 0.6× 1.6k 1.4× 1.3k 1.3× 1.5k 2.1× 36 0.1× 69 3.0k
Armando G. Poeppl Canada 7 475 0.3× 534 0.5× 951 0.9× 922 1.3× 105 0.4× 10 1.9k
David Flowers United States 20 524 0.4× 933 0.8× 1.7k 1.7× 988 1.4× 68 0.2× 43 3.2k
Kalindi Parmar United States 28 321 0.2× 862 0.8× 2.1k 2.1× 706 1.0× 138 0.5× 60 3.0k
Claudia S. Huettner United States 24 933 0.7× 714 0.6× 1.5k 1.5× 1.5k 2.1× 87 0.3× 44 3.3k
Jared K. Burks United States 28 677 0.5× 905 0.8× 1.3k 1.3× 356 0.5× 32 0.1× 85 2.5k

Countries citing papers authored by Max Jan

Since Specialization
Citations

This map shows the geographic impact of Max Jan'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 Jan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Jan more than expected).

Fields of papers citing papers by Max Jan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max Jan. 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 Jan. The network helps show where Max Jan may publish in the future.

Co-authorship network of co-authors of Max Jan

This figure shows the co-authorship network connecting the top 25 collaborators of Max Jan. A scholar is included among the top collaborators of Max Jan 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 Max Jan. Max Jan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sreekanth, Vedagopuram, Max Jan, Kevin T. Zhao, et al.. (2025). A Molecular Glue Approach to Control the Half-Life of CRISPR-Based Technologies. Journal of the American Chemical Society. 147(27). 23844–23856. 3 indexed citations
2.
Kembuan, Gabriele, et al.. (2024). Targeting solid tumor antigens with chimeric receptors: cancer biology meets synthetic immunology. Trends in cancer. 10(4). 312–331. 13 indexed citations
3.
Nguyen, Tuan M., Vedagopuram Sreekanth, Arghya Deb, et al.. (2023). Proteolysis-targeting chimeras with reduced off-targets. Nature Chemistry. 16(2). 218–228. 67 indexed citations
4.
Kann, Michael C., Emily M. Schneider, Amanda A. Bouffard, et al.. (2023). Chemical genetic control of cytokine signaling in CAR-T cells using lenalidomide-controlled membrane-bound degradable IL-7. Leukemia. 38(3). 590–600. 4 indexed citations
5.
Kembuan, Gabriele, Michael C. Kann, William M. Lin, et al.. (2023). Genetic retargeting of E3 ligases to enhance CAR T cell therapy. Cell chemical biology. 31(2). 338–348.e5. 7 indexed citations
6.
Lin, William M., Nelson H. Knudsen, Amanda A. Bouffard, et al.. (2023). A Lenalidomide-Inducible Suicide Switch for Gene- and Cell-Based Therapy. Blood. 142(Supplement 1). 4825–4825.
7.
Larson, Rebecca C., Michael C. Kann, Stefanie R. Bailey, et al.. (2022). CAR T cell killing requires the IFNγR pathway in solid but not liquid tumours. Nature. 604(7906). 563–570. 225 indexed citations breakdown →
8.
Leick, Mark B., Harrison Silva, Irene Scarfò, et al.. (2022). Non-cleavable hinge enhances avidity and expansion of CAR-T cells for acute myeloid leukemia. Cancer Cell. 40(5). 494–508.e5. 88 indexed citations
9.
Wehrli, Marc, Rebecca Larson, Irene Scarfò, et al.. (2022). Abstract 569: Mesothelin CAR T cells secreting FAP specific T cell engaging molecule (TEAM) target pancreatic cancer and its tumor microenvironment (TME). Cancer Research. 82(12_Supplement). 569–569. 1 indexed citations
10.
Jan, Max, Xinyan Lu, Mikołaj Słabicki, et al.. (2022). Repurposing the Damage Repair Protein Methyl Guanine Methyl Transferase as a Ligand Inducible Fusion Degron. ACS Chemical Biology. 17(1). 24–31. 6 indexed citations
11.
Jan, Max, Irene Scarfò, Rebecca C. Larson, et al.. (2021). Reversible ON- and OFF-switch chimeric antigen receptors controlled by lenalidomide. Science Translational Medicine. 13(575). 180 indexed citations
12.
Jan, Max, Adam S. Sperling, & Benjamin L. Ebert. (2021). Cancer therapies based on targeted protein degradation — lessons learned with lenalidomide. Nature Reviews Clinical Oncology. 18(7). 401–417. 91 indexed citations
13.
Miller, Peter G., Adam S. Sperling, Elliott J. Brea, et al.. (2021). Clonal hematopoiesis in patients receiving chimeric antigen receptor T-cell therapy. Blood Advances. 5(15). 2982–2986. 67 indexed citations
14.
Jan, Max, Julian A. Villalba, Paola Dal Cin, et al.. (2020). A cryptic imatinib-sensitive G3BP1-PDGFRB rearrangement in a myeloid neoplasm with eosinophilia. Blood Advances. 4(3). 445–448. 9 indexed citations
15.
Jan, Max, Benjamin L. Ebert, & Siddhartha Jaiswal. (2016). Clonal hematopoiesis. Seminars in Hematology. 54(1). 43–50. 74 indexed citations
16.
Davis, Jessica L., et al.. (2015). Development and validation of an app-based cell counter for use in the clinical laboratory setting. Journal of Pathology Informatics. 6(1). 2–2. 5 indexed citations
17.
Chung, Stephen S., Wendy W. Pang, Gino K. In, et al.. (2012). CD99 Identifies Disease Stem Cells in Acute Myeloid Leukemia and the Myelodysplastic Syndromes. Blood. 120(21). 210–210. 2 indexed citations
18.
Rizki, Gizem, Terri Iwata, Christian G. Riedel, et al.. (2011). The Evolutionarily Conserved Longevity Determinants HCF-1 and SIR-2.1/SIRT1 Collaborate to Regulate DAF-16/FOXO. PLoS Genetics. 7(9). e1002235–e1002235. 87 indexed citations
19.
Chao, Mark P., Ash A. Alizadeh, Chad Tang, et al.. (2010). Therapeutic Antibody Targeting of CD47 Eliminates Human Acute Lymphoblastic Leukemia. Cancer Research. 71(4). 1374–1384. 294 indexed citations
20.
Chao, Mark P., Ash A. Alizadeh, Chad Tang, et al.. (2010). Anti-CD47 Antibody Synergizes with Rituximab to Promote Phagocytosis and Eradicate Non-Hodgkin Lymphoma. Cell. 142(5). 699–713. 845 indexed citations breakdown →

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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