Max Klapholz

2.3k total citations · 1 hit paper
10 papers, 793 citations indexed

About

Max Klapholz is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Max Klapholz has authored 10 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Max Klapholz's work include Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (3 papers) and Immune Cell Function and Interaction (3 papers). Max Klapholz is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (3 papers) and Immune Cell Function and Interaction (3 papers). Max Klapholz collaborates with scholars based in United States, Israel and Netherlands. Max Klapholz's co-authors include Ana C. Anderson, Vijay K. Kuchroo, Elena Christian, Giulia Escobar, Aviv Regev, Orit Rozenblatt–Rosen, Junrong Xia, Asaf Madi, Danielle Dionne and Sema Kurtuluş and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and The Journal of Immunology.

In The Last Decade

Max Klapholz

9 papers receiving 784 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Checkpoint Blockade Immunotherapy Induces Dynamic Changes in PD-1−CD8+ Tumor-Infiltrating T Cells

2019 401 citations Sema Kurtuluş, Asaf Madi et al. Immunity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Max Klapholz United States	7	515	501	180	61	55	10	793
Mai-Britt Zocca Denmark	15	509 1.0×	348 0.7×	268 1.5×	57 0.9×	40 0.7×	25	718
Hannah H. Yan United States	7	377 0.7×	350 0.7×	236 1.3×	86 1.4×	19 0.3×	13	667
Elliot H. Akama‐Garren United States	9	351 0.7×	329 0.7×	204 1.1×	47 0.8×	22 0.4×	21	679
Heba Nowyhed United States	12	670 1.3×	274 0.5×	179 1.0×	61 1.0×	25 0.5×	17	867
Eleni‐Kyriaki Vetsika Greece	15	444 0.9×	508 1.0×	239 1.3×	111 1.8×	24 0.4×	36	851
Davide Mangani United States	11	295 0.6×	247 0.5×	200 1.1×	126 2.1×	19 0.3×	19	625
Won Jong Jin United States	14	215 0.4×	286 0.6×	228 1.3×	66 1.1×	17 0.3×	27	583
Katarina Mirjačić Martinović Serbia	15	599 1.2×	326 0.7×	115 0.6×	46 0.8×	22 0.4×	29	760
Geok Choo Sim United States	9	496 1.0×	423 0.8×	108 0.6×	34 0.6×	18 0.3×	11	693
Ling Lin China	10	398 0.8×	333 0.7×	366 2.0×	197 3.2×	35 0.6×	12	819

Countries citing papers authored by Max Klapholz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Max Klapholz

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Baxter, Amy E., Hua Huang, Josephine R. Giles, et al.. (2023). The SWI/SNF chromatin remodeling complexes BAF and PBAF differentially regulate epigenetic transitions in exhausted CD8+ T cells. Immunity. 56(6). 1320–1340.e10. 42 indexed citations

2.

Cucolo, Lisa, Jingya Qiu, Yongjun Yu, et al.. (2022). The interferon-stimulated gene RIPK1 regulates cancer cell intrinsic and extrinsic resistance to immune checkpoint blockade. Immunity. 55(4). 671–685.e10. 59 indexed citations

3.

Klapholz, Max, Michael G. Drage, Amitabh Srivastava, & Ana C. Anderson. (2022). Presence of Tim3⁺ and PD‐1⁺CD8⁺T cells identifies microsatellite stable colorectal carcinomas with immune exhaustion and distinct clinicopathological features. The Journal of Pathology. 257(2). 186–197. 23 indexed citations

4.

Gokhale, Prafulla C., Max Klapholz, Michael J. Poitras, et al.. (2021). 256 The TIGIT/CD226/CD155 axis and the effects of combining PD-1/PD-L1 blockade with TIGIT-targeting antibody therapy in syngeneic murine glioblastoma models. SHILAP Revista de lepidopterología. A277–A278. 1 indexed citations

5.

Acharya, Nandini, Asaf Madi, Huiyuan Zhang, et al.. (2020). Endogenous Glucocorticoid Signaling Regulates CD8+ T Cell Differentiation and Development of Dysfunction in the Tumor Microenvironment. Immunity. 53(3). 658–671.e6. 147 indexed citations

6.

Klapholz, Max, et al.. (2020). The bidirectional nature of microbiome-epithelial cell interactions. Current Opinion in Microbiology. 56. 45–51. 34 indexed citations

7.

Dvořák, Zdeněk, Max Klapholz, Thomas P. Burris, et al.. (2020). Weak Microbial Metabolites: a Treasure Trove for Using Biomimicry to Discover and Optimize Drugs. Molecular Pharmacology. 98(4). 343–349. 5 indexed citations

8.

Cucolo, Lisa, Jingya Qiu, Max Klapholz, et al.. (2020). Tumor RIPK1 signaling mediates intrinsic and extrinsic mechanisms of resistance to immune checkpoint blockade therapy. The Journal of Immunology. 204(1_Supplement). 241.29–241.29.

9.

Kurtuluş, Sema, Asaf Madi, Giulia Escobar, et al.. (2019). Checkpoint Blockade Immunotherapy Induces Dynamic Changes in PD-1−CD8+ Tumor-Infiltrating T Cells. Immunity. 50(1). 181–194.e6. 401 indexed citations breakdown →

10.

Sabatos-Peyton, Catherine, James Nevin, Ansgar Brock, et al.. (2017). Blockade of Tim-3 binding to phosphatidylserine and CEACAM1 is a shared feature of anti-Tim-3 antibodies that have functional efficacy. OncoImmunology. 7(2). e1385690–e1385690. 81 indexed citations

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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