Martin Asslaber

4.7k total citations · 1 hit paper
35 papers, 1.8k citations indexed

About

Martin Asslaber is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Martin Asslaber has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Martin Asslaber's work include Glioma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers) and Breast Cancer Treatment Studies (3 papers). Martin Asslaber is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers) and Breast Cancer Treatment Studies (3 papers). Martin Asslaber collaborates with scholars based in Austria, United States and Germany. Martin Asslaber's co-authors include Kurt Zatloukal, Kurt Zatloukal, Jérôme Galon, Franck Pagès, Bernhard Mlecnik, Philippe Wind, Anne Berger, Marie Tosolini, Wolf H. Fridman and Zlatko Trajanoski and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Martin Asslaber

33 papers receiving 1.8k 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.

In Situ Cytotoxic and Memory T Cells Predict Outcome in Patients With Early-Stage Colorectal Cancer

2009 724 citations Martin Asslaber, Kurt Zatloukal et al. Journal of Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Asslaber Austria	17	804	589	508	237	178	35	1.8k
Tomonori Yaguchi Japan	28	989 1.2×	912 1.5×	687 1.4×	256 1.1×	105 0.6×	70	2.0k
Kiyohiko Hatake Japan	24	760 0.9×	777 1.3×	912 1.8×	256 1.1×	313 1.8×	130	2.3k
Christopher Ocampo United States	17	578 0.7×	349 0.6×	929 1.8×	101 0.4×	223 1.3×	33	2.2k
Dongfeng Qu United States	32	894 1.1×	372 0.6×	1.0k 2.0×	500 2.1×	137 0.8×	57	2.7k
Nicholas Borcherding United States	28	923 1.1×	773 1.3×	1.3k 2.6×	467 2.0×	141 0.8×	77	2.7k
Esther Elishaev United States	24	498 0.6×	510 0.9×	582 1.1×	388 1.6×	100 0.6×	70	1.8k
Kota Iwahori Japan	21	863 1.1×	552 0.9×	451 0.9×	118 0.5×	97 0.5×	53	1.7k
Carolin Mogler Germany	29	656 0.8×	397 0.7×	1.1k 2.1×	436 1.8×	82 0.5×	126	2.7k

Countries citing papers authored by Martin Asslaber

Since Specialization

Citations

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

Fields of papers citing papers by Martin Asslaber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Asslaber

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Asslaber. A scholar is included among the top collaborators of Martin Asslaber 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 Martin Asslaber. Martin Asslaber 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

Asslaber, Martin, et al.. (2023). Atraumatic access to human glioblastoma in a xenograft animal model by cerebral open flow microperfusion. Journal of Neuroscience Methods. 393. 109893–109893.

Krassnig, Stefanie, Nicole Golob‐Schwarzl, Christoph Schatz, et al.. (2021). A Profound Basic Characterization of eIFs in Gliomas: Identifying eIF3I and 4H as Potential Novel Target Candidates in Glioma Therapy. Cancers. 13(6). 1482–1482. 12 indexed citations

Jakešová, Marie, Tamara Tomin, Tony Schmidt, et al.. (2021). Targeted Chemotherapy: Targeted Chemotherapy of Glioblastoma Spheroids with an Iontronic Pump (Adv. Mater. Technol. 5/2021). Advanced Materials Technologies. 6(5).

Hochmeister, Sonja, Thomas Gattringer, Martin Asslaber, et al.. (2020). A Fulminant Case of Demyelinating Encephalitis With Extensive Cortical Involvement Associated With Anti-MOG Antibodies. Frontiers in Neurology. 11. 31–31. 14 indexed citations

Richtig, Georg, Martin Asslaber, Martin Pichler, et al.. (2019). Hedgehog pathway proteins SMO and GLI expression as prognostic markers in head and neck squamous cell carcinoma. Histopathology. 75(1). 118–127. 12 indexed citations

Münzker, Julia, et al.. (2018). Systematic in vivo evaluation of the time-dependent inflammatory response to steel and Teflon insulin infusion catheters. Scientific Reports. 8(1). 1132–1132. 29 indexed citations

Schmid, Johannes, Laura Liesinger, Ruth Birner‐Gruenberger, et al.. (2018). Elevated Cardiac Troponin T in Patients With Skeletal Myopathies. Journal of the American College of Cardiology. 71(14). 1540–1549. 145 indexed citations

Kainz, Philipp, Harald Burgsteiner, Martin Asslaber, & Helmut Ahammer. (2016). Training echo state networks for rotation-invariant bone marrow cell classification. Neural Computing and Applications. 28(6). 1277–1292. 15 indexed citations

Asslaber, Martin, Silvia Schauer, Margit Gogg-Kamerer, et al.. (2016). Native Oligodendrocytes in Astrocytomas Might Inhibit Tumor Proliferation by WIF1 Expression. Journal of Neuropathology & Experimental Neurology. 76(1). nlw098–nlw098. 12 indexed citations

10.

Szkandera, Joanna, Sereina A. Herzog, Martin Pichler, et al.. (2015). LGR5 rs17109924 is a predictive genetic biomarker for time to recurrence in patients with colon cancer treated with 5-fluorouracil-based adjuvant chemotherapy. The Pharmacogenomics Journal. 15(5). 391–396. 12 indexed citations

11.

Kammerer, Sarah, Hubert Hackl, Stephan Jahn, et al.. (2014). Overexpression of G Protein-Activated Inward Rectifier Potassium Channel 1 (GIRK1) is Associated with Lymph Node Metastasis and Poor Prognosis in Breast Cancer. Annals of Oncology. 25. i18–i18. 2 indexed citations

12.

Asslaber, Martin, et al.. (2014). Treatment results and outcome in elderly patients with glioblastoma multiforme – A retrospective single institution analysis. Clinical Neurology and Neurosurgery. 128. 60–69. 29 indexed citations

13.

Reiter, Ursula, Gert Reiter, Martin Asslaber, et al.. (2014). Characterization of a calcified intra-cardiac pseudocyst of the mitral valve by magnetic resonance imaging including T1 and T2 mapping. BMC Cardiovascular Disorders. 14(1). 11–11. 6 indexed citations

14.

Riedl, Sabrina, Beate Rinner, Martin Asslaber, et al.. (2011). In search of a novel target — Phosphatidylserine exposed by non-apoptotic tumor cells and metastases of malignancies with poor treatment efficacy. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1808(11). 2638–2645. 268 indexed citations

15.

Deurzen, Carolien H. M. van, Gábor Cserni, Simonetta Bianchi, et al.. (2010). Nodal-Stage Classification in Invasive Lobular Breast Carcinoma: Influence of Different Interpretations of the pTNM Classification. Journal of Clinical Oncology. 28(6). 999–1004. 9 indexed citations

16.

Cserni, Gábor, Simonetta Bianchi, Vania Vezzosi, et al.. (2008). Variations in sentinel node isolated tumour cells/micrometastasis and non-sentinel node involvement rates according to different interpretations of the TNM definitions. European Journal of Cancer. 44(15). 2185–2191. 49 indexed citations

17.

Beißbarth, Tim, Ruprecht Kuner, Axel Benner, et al.. (2008). Effects of infiltrating lymphocytes and estrogen receptor on gene expression and prognosis in breast cancer. Breast Cancer Research and Treatment. 116(1). 69–77. 92 indexed citations

18.

Asslaber, Martin, Peter M. Abuja, Johann Eder, et al.. (2007). The Genome Austria Tissue Bank (GATiB). Pathobiology. 74(4). 251–258. 22 indexed citations

19.

Asslaber, Martin & Kurt Zatloukal. (2007). Biobanks: transnational, European and global networks. Briefings in Functional Genomics and Proteomics. 6(3). 193–201. 101 indexed citations

20.

Schneider, Jörg, Markus Ruschhaupt, Andreas Buneß, et al.. (2006). Identification and meta‐analysis of a small gene expression signature for the diagnosis of estrogen receptor status in invasive ductal breast cancer. International Journal of Cancer. 119(12). 2974–2979. 40 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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