Sabine Heitzeneder

3.4k total citations · 1 hit paper
13 papers, 599 citations indexed

About

Sabine Heitzeneder is a scholar working on Oncology, Immunology and Neurology. According to data from OpenAlex, Sabine Heitzeneder has authored 13 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Immunology and 3 papers in Neurology. Recurrent topics in Sabine Heitzeneder's work include CAR-T cell therapy research (10 papers), Immunotherapy and Immune Responses (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Sabine Heitzeneder is often cited by papers focused on CAR-T cell therapy research (10 papers), Immunotherapy and Immune Responses (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Sabine Heitzeneder collaborates with scholars based in United States, Austria and Germany. Sabine Heitzeneder's co-authors include Robbie G. Majzner, Crystal L. Mackall, Elisabeth Förster‐Waldl, Markus G. Seidel, Andreas Heitger, Elena Sotillo, Johanna Theruvath, Crystal L. Mackall, Sang M. Nguyen and Louai Labanieh and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Cell and Cancer Research.

In The Last Decade

Sabine Heitzeneder

10 papers receiving 590 citations

Hit Papers

1 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.

Tuning the Antigen Density Requirement for CAR T-cell Activity

2020 319 citations Robbie G. Majzner, Skyler P. Rietberg et al. Cancer Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sabine Heitzeneder United States	5	416	243	170	159	113	13	599
Ryo Hanajiri Japan	10	452 1.1×	200 0.8×	162 1.0×	163 1.0×	170 1.5×	29	576
Tatsunori Goto Japan	14	435 1.0×	240 1.0×	216 1.3×	163 1.0×	146 1.3×	48	723
Zakaria Grada United States	8	467 1.1×	171 0.7×	148 0.9×	207 1.3×	144 1.3×	15	551
Aaron Zhang United States	5	465 1.1×	259 1.1×	142 0.8×	160 1.0×	124 1.1×	8	579
Yueh-wei Shen United States	8	460 1.1×	209 0.9×	190 1.1×	153 1.0×	115 1.0×	13	608
Nobuhiko Imahashi Japan	14	306 0.7×	283 1.2×	111 0.7×	83 0.5×	91 0.8×	41	622
Reona Sakemura United States	13	717 1.7×	261 1.1×	249 1.5×	261 1.6×	227 2.0×	54	879
Erik F. Williams United States	3	388 0.9×	224 0.9×	170 1.0×	105 0.7×	76 0.7×	4	556
Thomas Shum United States	10	476 1.1×	198 0.8×	172 1.0×	161 1.0×	177 1.6×	17	612
Anthony F. Daniyan United States	12	784 1.9×	363 1.5×	326 1.9×	241 1.5×	237 2.1×	24	1.0k

Countries citing papers authored by Sabine Heitzeneder

Since Specialization

Citations

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

Fields of papers citing papers by Sabine Heitzeneder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Heitzeneder

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

All Works

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13 of 13 papers shown

Balke‐Want, Hyatt, Carolyn Fowler, Peipei Xu, et al.. (2024). B7-H3 CAR T-CELLS MANUFACTURED VIA CRISPR KNOCK-IN AT CLINICAL SCALE ARE EFFECTIVE AGAINST SMALL-CELL LUNG CANCER. Cytotherapy. 26(6). S175–S176.

Radosevich, Molly, Scott J. Bornheimer, Bita Sahaf, et al.. (2023). Antigen density quantification of cell-surface immunotherapy targets by flow cytometry: Multi-antigen assay of neuroblastoma bone marrow metastasis. STAR Protocols. 4(4). 102709–102709.

Majzner, Robbie G., Skyler P. Rietberg, Elena Sotillo, et al.. (2020). Tuning the Antigen Density Requirement for CAR T-cell Activity. Cancer Discovery. 10(5). 702–723. 319 indexed citations breakdown →

Theruvath, Johanna, Miles H. Linde, Elena Sotillo, et al.. (2020). Abstract PR07: GD2 is a macrophage checkpoint molecule and combined GD2/CD47 blockade results in synergistic effects and tumor clearance in xenograft models of neuroblastoma and osteosarcoma. Cancer Research. 80(14_Supplement). PR07–PR07. 4 indexed citations

Heitzeneder, Sabine, Kristopher R. Bosse, Zhongyu Zhu, et al.. (2020). Abstract A09: Glypican-2 targeted CAR T cells designed to effectively eradicate endogenous site density solid tumors in the absence of toxicity. Cancer Research. 80(14_Supplement). A09–A09.

Theruvath, Johanna, Claus Moritz Graef, Sabine Heitzeneder, et al.. (2019). IMMU-09. LOCALLY ADMINISTERED CAR T CELLS DEMONSTRATE MOST FAVORABLE ROUTE OF ADMINISTRATION IN A MODEL OF ATRT. Neuro-Oncology. 21(Supplement_2). ii94–ii95. 1 indexed citations

Theruvath, Johanna, Sabine Heitzeneder, Robbie G. Majzner, et al.. (2018). ATRT-25. CHECKPOINT MOLECULE B7-H3 IS HIGHLY EXPRESSED ON ATYPICAL RHABDOID TERATOID TUMOR (ATRT) AND IS A PROMISING CANDIDATE FOR CAR T CELL THERAPY. Neuro-Oncology. 20(suppl_2). i33–i33. 1 indexed citations

Heitzeneder, Sabine, Elena Sotillo, Jack F. Shern, et al.. (2018). Pregnancy-Associated Plasma Protein-A (PAPP-A) in Ewing Sarcoma: Role in Tumor Growth and Immune Evasion. JNCI Journal of the National Cancer Institute. 111(9). 970–982. 44 indexed citations

Majzner, Robbie G., Sabine Heitzeneder, & Crystal L. Mackall. (2017). Harnessing the Immunotherapy Revolution for the Treatment of Childhood Cancers. Cancer Cell. 31(4). 476–485. 102 indexed citations

10.

Theruvath, Johanna, Sabine Heitzeneder, Robbie G. Majzner, et al.. (2017). IMMU-45. CHECKPOINT MOLECULE B7-H3 IS HIGHLY EXPRESSED ON MEDULLOBLASTOMA AND PROVES TO BE A PROMISING CANDIDATE FOR CAR T CELL IMMUNOTHERAPY. Neuro-Oncology. 19(suppl_6). vi122–vi122. 1 indexed citations

11.

Theruvath, Johanna, Sabine Heitzeneder, Robbie G. Majzner, et al.. (2017). IMMU-07. CHECKPOINT MOLECULE B7-H3 IS HIGHLY EXPRESSED ON MEDULLOBLASTOMA AND PROVES TO BE A PROMISING CANDIDATE FOR CAR T CELL IMMUNOTHERAPY. Neuro-Oncology. 19(suppl_4). iv28–iv29. 4 indexed citations

12.

Heitzeneder, Sabine, Xu Peng, Johanna Theruvath, et al.. (2017). 327 B7-H3 Chimeric Antigen Receptor Modified T Cells Show Potent Anti-Tumor Activity in a Preclinical Model of Glioblastoma. Neurosurgery. 64(CN_suppl_1). 272–272. 1 indexed citations

13.

Heitzeneder, Sabine, Markus G. Seidel, Elisabeth Förster‐Waldl, & Andreas Heitger. (2011). Mannan-binding lectin deficiency — Good news, bad news, doesn't matter?. Clinical Immunology. 143(1). 22–38. 122 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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