Veit R. Buchholz

4.8k total citations · 1 hit paper
33 papers, 2.7k citations indexed

About

Veit R. Buchholz is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Veit R. Buchholz has authored 33 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 15 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Veit R. Buchholz's work include T-cell and B-cell Immunology (29 papers), Immune Cell Function and Interaction (25 papers) and CAR-T cell therapy research (15 papers). Veit R. Buchholz is often cited by papers focused on T-cell and B-cell Immunology (29 papers), Immune Cell Function and Interaction (25 papers) and CAR-T cell therapy research (15 papers). Veit R. Buchholz collaborates with scholars based in Germany, United States and Netherlands. Veit R. Buchholz's co-authors include Dirk H. Busch, Diana Dudziak, Gordon F. Heidkamp, Sayuri Yamazaki, Michel C. Nussenzweig, Kang Liu, Christine Trumpfheller, Cheolho Cheong, Chae Gyu Park and Alice O. Kamphorst and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Veit R. Buchholz

33 papers receiving 2.6k 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.

Differential Antigen Processing by Dendritic Cell Subsets in Vivo

2007 1.1k citations Diana Dudziak, Alice O. Kamphorst et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Veit R. Buchholz Germany	19	2.2k	799	569	250	177	33	2.7k
Mathias Oelke United States	24	1.4k 0.7×	947 1.2×	451 0.8×	227 0.9×	133 0.8×	63	2.0k
Ian A. Parish Australia	24	3.0k 1.4×	1.0k 1.3×	1.0k 1.8×	290 1.2×	238 1.3×	37	3.9k
Zacarias Garcia France	29	2.0k 0.9×	835 1.0×	649 1.1×	289 1.2×	184 1.0×	42	2.7k
Robbie B. Mailliard United States	26	2.0k 0.9×	695 0.9×	583 1.0×	223 0.9×	137 0.8×	67	2.6k
Kristen J. Radford Australia	29	2.2k 1.0×	800 1.0×	837 1.5×	250 1.0×	139 0.8×	67	2.9k
Monika C. Wolkers Netherlands	27	1.6k 0.7×	885 1.1×	842 1.5×	421 1.7×	217 1.2×	63	2.6k
Máire F. Quigley United States	19	2.1k 1.0×	1.1k 1.4×	518 0.9×	474 1.9×	328 1.9×	24	2.9k
Ascensión López-Dı́az de Cerio Spain	22	1.5k 0.7×	917 1.1×	740 1.3×	162 0.6×	88 0.5×	43	2.4k
Joyce Chen United States	9	1.0k 0.5×	924 1.2×	610 1.1×	166 0.7×	328 1.9×	20	2.0k
Lianjun Shen China	17	1.6k 0.7×	750 0.9×	1.4k 2.5×	264 1.1×	199 1.1×	49	2.8k

Countries citing papers authored by Veit R. Buchholz

Since Specialization

Citations

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

Fields of papers citing papers by Veit R. Buchholz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veit R. Buchholz. 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 Veit R. Buchholz. The network helps show where Veit R. Buchholz may publish in the future.

Co-authorship network of co-authors of Veit R. Buchholz

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

All Works

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20 of 20 papers shown

Xu, Tao, Alexander Beck, Katharina Müller, et al.. (2024). PD-1 blockade does not improve efficacy of EpCAM-directed CAR T-cell in lung cancer brain metastasis. Cancer Immunology Immunotherapy. 73(12). 255–255. 1 indexed citations

Baumgarten, Louisa von, et al.. (2023). Unbiased chemokine receptor screening reveals similar efficacy of lymph node- and tumor-targeted T cell immunotherapy. Cancer Immunology Immunotherapy. 72(9). 3111–3124. 1 indexed citations

Rausch, Lisa, Christine Ried, Veit R. Buchholz, et al.. (2023). Phosphatidylserine-positive extracellular vesicles boost effector CD8 ⁺ T cell responses during viral infection. Proceedings of the National Academy of Sciences. 120(16). e2210047120–e2210047120. 15 indexed citations

Grassmann, Simon, et al.. (2023). Recruitment of epitope-specific T cell clones with a low-avidity threshold supports efficacy against mutational escape upon re-infection. Immunity. 56(6). 1269–1284.e6. 23 indexed citations

Jarosch, Sebastian, Jack Barton, Simon Grassmann, et al.. (2022). Signatures of recent activation identify a circulating T cell compartment containing tumor-specific antigen receptors with high avidity. Science Immunology. 7(74). eabm2077–eabm2077. 15 indexed citations

Loeffler, Dirk, Lorenz Kretschmer, Ciro Salinno, et al.. (2022). Heritable changes in division speed accompany the diversification of single T cell fate. Proceedings of the National Academy of Sciences. 119(9). 13 indexed citations

Grassmann, Simon, Joseph C. Sun, & Veit R. Buchholz. (2022). Retrogenic Color-Barcoding for Fate Mapping of Single Innate Lymphocytes. Methods in molecular biology. 2463. 117–127. 1 indexed citations

Kretschmer, Lorenz, Michael Floßdorf, Yi-Li Cho, et al.. (2020). Differential expansion of T central memory precursor and effector subsets is regulated by division speed. Nature Communications. 11(1). 113–113. 42 indexed citations

Grassmann, Simon, Kilian Schober, Justin Leube, et al.. (2020). Early emergence of T central memory precursors programs clonal dominance during chronic viral infection. Nature Immunology. 21(12). 1563–1573. 37 indexed citations

10.

Werner, J., Simon Grassmann, Vipul Gujrati, et al.. (2020). Multiplexed whole-animal imaging with reversibly switchable optoacoustic proteins. Science Advances. 6(24). eaaz6293–eaaz6293. 35 indexed citations

11.

Mulazzani, Matthias, Simon P. Fräßle, Hellen Ishikawa‐Ankerhold, et al.. (2019). Long-term in vivo microscopy of CAR T cell dynamics during eradication of CNS lymphoma in mice. Proceedings of the National Academy of Sciences. 116(48). 24275–24284. 73 indexed citations

12.

Ulas, Thomas, Yi-Li Cho, Christine Ried, et al.. (2019). Expression of the Phosphatase Ppef2 Controls Survival and Function of CD8+ Dendritic Cells. Frontiers in Immunology. 10. 222–222. 5 indexed citations

13.

Schober, Kilian, Veit R. Buchholz, & Dirk H. Busch. (2018). TCR repertoire evolution during maintenance of CMV‐specific T‐cell populations. Immunological Reviews. 283(1). 113–128. 28 indexed citations

14.

Buchholz, Veit R. & Michael Floßdorf. (2018). Single-Cell Resolution of T Cell Immune Responses. Advances in immunology. 137. 1–41. 4 indexed citations

15.

Busch, Dirk H., Simon P. Fräßle, Daniel Sommermeyer, Veit R. Buchholz, & Stanley R. Riddell. (2016). Role of memory T cell subsets for adoptive immunotherapy. Seminars in Immunology. 28(1). 28–34. 167 indexed citations

16.

Graef, Patricia, Veit R. Buchholz, Christian Stemberger, et al.. (2014). Serial Transfer of Single-Cell-Derived Immunocompetence Reveals Stemness of CD8+ Central Memory T Cells. Immunity. 41(1). 116–126. 225 indexed citations

17.

Buchholz, Veit R., et al.. (2013). The smallest unit: effector and memory CD8+ T cell differentiation on the single cell level. Frontiers in Immunology. 4. 31–31. 18 indexed citations

18.

Buchholz, Veit R., Michael Neuenhahn, & Dirk H. Busch. (2011). CD8+ T cell differentiation in the aging immune system: until the last clone standing. Current Opinion in Immunology. 23(4). 549–554. 36 indexed citations

19.

Dudziak, Diana, Alice O. Kamphorst, Gordon F. Heidkamp, et al.. (2007). Differential Antigen Processing by Dendritic Cell Subsets in Vivo. Science. 315(5808). 107–111. 1105 indexed citations breakdown →

20.

Stemberger, Christian, Michael Neuenhahn, Veit R. Buchholz, & Dirk H. Busch. (2007). Origin of CD8+ effector and memory T cell subsets.. PubMed. 4(6). 399–405. 34 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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