Sarah Haebe

792 total citations
25 papers, 333 citations indexed

About

Sarah Haebe is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Sarah Haebe has authored 25 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 12 papers in Oncology and 11 papers in Immunology. Recurrent topics in Sarah Haebe's work include Lymphoma Diagnosis and Treatment (12 papers), Immune Cell Function and Interaction (8 papers) and CAR-T cell therapy research (7 papers). Sarah Haebe is often cited by papers focused on Lymphoma Diagnosis and Treatment (12 papers), Immune Cell Function and Interaction (8 papers) and CAR-T cell therapy research (7 papers). Sarah Haebe collaborates with scholars based in Germany, United States and Netherlands. Sarah Haebe's co-authors include Ronald Levy, C. Benedikt Westphalen, Wan Xing Hong, Wen Jiang, Jeffrey A. Norton, Andrew S. Lee, Oliver Weigert, Stefan Alig, Brock A. Martin and Debra K. Czerwinski and has published in prestigious journals such as Blood, Clinical Cancer Research and International Journal of Cancer.

In The Last Decade

Sarah Haebe

22 papers receiving 327 citations

Peers

Sarah Haebe
Sarah Nataraj United States
Maike Sauer Germany
Andrea Pepper United Kingdom
Raedun Clarke United States
D M Grote United States
Sarah Haebe
Citations per year, relative to Sarah Haebe Sarah Haebe (= 1×) peers Alba Matas‐Céspedes

Countries citing papers authored by Sarah Haebe

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Haebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Haebe

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Haebe. A scholar is included among the top collaborators of Sarah Haebe 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 Sarah Haebe. Sarah Haebe 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.
Shree, Tanaya, Debra K. Czerwinski, Sarah Haebe, et al.. (2025). A Phase I Clinical Trial Adding OX40 Agonism to In Situ Therapeutic Cancer Vaccination in Patients with Low-Grade B-cell Lymphoma Highlights Challenges in Translation from Mouse to Human Studies. Clinical Cancer Research. 31(5). 868–880. 1 indexed citations
2.
Haebe, Sarah, Gesa Schuebbe, Philipp Jurmeister, et al.. (2025). Adding checkpoint inhibitors to first-line chemotherapy for NUT carcinoma patients. npj Precision Oncology. 9(1). 26–26.
3.
Fraccaroli, Alessia, Vindi Jurinović, Klaus Hirschbühl, et al.. (2025). Pretransplant MRD does not seem to affect survival in NPM1-mutated AML undergoing allogeneic stem cell transplantation. Blood Advances. 9(7). 1630–1641. 3 indexed citations
4.
Fraccaroli, Alessia, Sarah Haebe, Dušan Prevalšek, et al.. (2024). Treosulfan-Versus Melphalan-Based Reduced Intensity Conditioning in HLA-Haploidentical Transplantation for Patients ≥ 50 Years with Advanced MDS/AML. Cancers. 16(16). 2859–2859. 1 indexed citations
5.
Grimes, Susan M., Heon Seok Kim, Sharmili Roy, et al.. (2023). Single-cell multi-gene identification of somatic mutations and gene rearrangements in cancer. NAR Cancer. 5(3). zcad034–zcad034. 3 indexed citations
6.
7.
Haebe, Sarah, Debra K. Czerwinski, Anuja Sathe, et al.. (2023). Follicular lymphoma evolves with a surmountable dependency on acquired glycosylation motifs in the B-cell receptor. Blood. 142(26). 2296–2304. 2 indexed citations
8.
Shree, Tanaya, Sarah Haebe, Debra K. Czerwinski, et al.. (2022). Activating Immune Effectors and Dampening Immune Suppressors Generates Successful Therapeutic Cancer Vaccination in Patients with Lymphoma. Blood. 140(Supplement 1). 6450–6451. 1 indexed citations
9.
Krüger, Stephan, Volker Heinemann, Deepak Bararia, et al.. (2021). Alterations in regulatory T cells and immune checkpoint molecules in pancreatic cancer patients receiving FOLFIRINOX or gemcitabine plus nab-paclitaxel. Clinical & Translational Oncology. 23(11). 2394–2401. 13 indexed citations
10.
Haebe, Sarah, Tanaya Shree, Anuja Sathe, et al.. (2021). Single-cell analysis can define distinct evolution of tumor sites in follicular lymphoma. Blood. 137(21). 2869–2880. 48 indexed citations
11.
Haebe, Sarah, Stefan Alig, Michael Heide, et al.. (2021). The molecular ontogeny of follicular lymphoma: gene mutations succeeding the BCL2 translocation define common precursor cells. British Journal of Haematology. 196(6). 1381–1387. 5 indexed citations
12.
Mooney, Kelly L., Debra K. Czerwinski, Tanaya Shree, et al.. (2021). Serial FNA allows direct sampling of malignant and infiltrating immune cells in patients with B‐cell lymphoma receiving immunotherapy. Cancer Cytopathology. 130(3). 231–237. 2 indexed citations
13.
Hong, Wan Xing, Sarah Haebe, Andrew S. Lee, et al.. (2020). Intratumoral Immunotherapy for Early-stage Solid Tumors. Clinical Cancer Research. 26(13). 3091–3099. 122 indexed citations
14.
Alig, Stefan, Vindi Jurinović, Alessandro Pastore, et al.. (2019). Impact of age on clinical risk scores in follicular lymphoma. Blood Advances. 3(7). 1033–1038. 15 indexed citations
15.
Haebe, Sarah, Tanaya Shree, Anuja Sathe, et al.. (2019). Site to Site Comparison of Follicular Lymphoma Biopsies By Single Cell RNA Sequencing. Blood. 134(Supplement_1). 297–297. 4 indexed citations
16.
Fraccaroli, Alessia, Dušan Prevalšek, Susanne Fritsch, et al.. (2018). Sequential HLA‐haploidentical transplantation utilizing post‐transplantation cyclophosphamide for GvHD prophylaxis in high‐risk and relapsed/refractory AML/MDS. American Journal of Hematology. 93(12). 1524–1531. 16 indexed citations
17.
Hellmuth, Johannes C., Abner Louissaint, Monika Szczepanowski, et al.. (2018). Duodenal-type and nodal follicular lymphomas differ by their immune microenvironment rather than their mutation profiles. Blood. 132(16). 1695–1702. 42 indexed citations
18.
Jacobson, Caron A., Nadja Kopp, Jacob V. Layer, et al.. (2016). HSP90 inhibition overcomes ibrutinib resistance in mantle cell lymphoma. Blood. 128(21). 2517–2526. 30 indexed citations
19.
Bhattacharya, Nupur, Michaela Reichenzeller, Maïwen Caudron‐Herger, et al.. (2014). Loss of cooperativity of secreted CD40L and increased dose-response to IL4 on CLL cell viability correlates with enhanced activation of NF-kB and STAT6. International Journal of Cancer. 136(1). 65–73. 13 indexed citations
20.
Garding, Angela, Nupur Bhattacharya, Sarah Haebe, et al.. (2012). TCL1A and ATM are co-expressed in chronic lymphocytic leukemia cells without deletion of 11q. Haematologica. 98(2). 269–273. 3 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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