Thomas Kislinger

28.5k total citations · 3 hit papers
168 papers, 11.7k citations indexed

About

Thomas Kislinger is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Thomas Kislinger has authored 168 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 57 papers in Spectroscopy and 24 papers in Cancer Research. Recurrent topics in Thomas Kislinger's work include Advanced Proteomics Techniques and Applications (55 papers), Mass Spectrometry Techniques and Applications (34 papers) and Advanced Glycation End Products research (16 papers). Thomas Kislinger is often cited by papers focused on Advanced Proteomics Techniques and Applications (55 papers), Mass Spectrometry Techniques and Applications (34 papers) and Advanced Glycation End Products research (16 papers). Thomas Kislinger collaborates with scholars based in Canada, United States and Germany. Thomas Kislinger's co-authors include Ann Marie Schmidt, David M. Stern, Andrew Emili, Wu Qu, Anthony O. Gramolini, Caifeng Fu, Monika Pischetsrieder, Vladimir Ignatchenko, M. Hofmann and Yan Lü and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Thomas Kislinger

160 papers receiving 11.5k 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.

Blockade of RAGE–amphoterin signalling suppresses tumour growth and metastases

2000 1.1k citations Akihiko Taguchi, G. Del Toro et al. Nature profile →
N ε-(Carboxymethyl)Lysine Adducts of Proteins Are Ligands for Receptor for Advanced Glycation End Products That Activate Cell Signaling Pathways and Modulate Gene Expression

1999 763 citations Thomas Kislinger, Caifeng Fu et al. profile →
Characterization of the proteins released from activated platelets leads to localization of novel platelet proteins in human atherosclerotic lesions

2003 618 citations Thomas Kislinger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Kislinger Canada	53	5.8k	3.7k	1.7k	1.5k	1.5k	168	11.7k
Harald Mischak Germany	81	13.1k 2.3×	737 0.2×	1.1k 0.6×	1.3k 0.9×	5.5k 3.6×	441	23.5k
Arnold W. Strauss United States	58	6.4k 1.1×	3.4k 0.9×	946 0.6×	512 0.3×	186 0.1×	220	10.5k
Christian Frezza United Kingdom	61	11.4k 2.0×	1.4k 0.4×	262 0.2×	4.2k 2.8×	244 0.2×	139	16.1k
John Morser United States	49	3.6k 0.6×	2.8k 0.8×	961 0.6×	1.0k 0.7×	58 0.0×	168	12.1k
John P. Kane United States	70	4.6k 0.8×	525 0.1×	6.2k 3.7×	3.2k 2.1×	268 0.2×	261	16.8k
Linda K. Curtiss United States	67	4.8k 0.8×	621 0.2×	2.8k 1.7×	1.9k 1.3×	143 0.1×	190	15.0k
Takashi Hashimoto Japan	77	10.5k 1.8×	4.1k 1.1×	600 0.4×	1.1k 0.7×	58 0.0×	912	26.5k
Mohit Jain United States	46	5.5k 0.9×	350 0.1×	387 0.2×	1.3k 0.8×	246 0.2×	149	8.5k
Eyal Gottlieb United Kingdom	63	14.6k 2.5×	586 0.2×	525 0.3×	8.6k 5.6×	353 0.2×	135	20.8k
Hermann-Josef Gröne Germany	62	5.0k 0.9×	284 0.1×	600 0.4×	942 0.6×	202 0.1×	170	11.9k

Countries citing papers authored by Thomas Kislinger

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Kislinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Kislinger

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

Luo, Wu, Mona Teng, Weilong Guo, et al.. (2026). METTL3-based epitranscriptomic editing screening identifies functional m6A sites in cancers. Nature Cancer.

Khan, Shahbaz, Wayne Ngo, Jamie L. Y. Wu, et al.. (2025). Phenotypic screens for SIRPA expression reveal RAB21 as a general regulator of macrophage surface identity. Cell Reports. 44(7). 115921–115921.

Waas, Matthew, Amanda Khoo, Jiang He, et al.. (2024). Protocol for generating high-fidelity proteomic profiles using DROPPS. STAR Protocols. 5(4). 103397–103397.

Colantuono, Chiara, Ana Julia Fernández-Álvarez, Graciela L. Boccaccio, et al.. (2024). Multi-Omics Study Reveals Nc886/vtRNA2-1 as a Positive Regulator of Prostate Cancer Cell Immunity. Journal of Proteome Research. 24(2). 433–448. 1 indexed citations

Ha, Annie, Amanda Khoo, Vladimir Ignatchenko, et al.. (2024). Comprehensive Prostate Fluid-Based Spectral Libraries for Enhanced Protein Detection in Urine. Journal of Proteome Research. 23(5). 1768–1778. 3 indexed citations

Khan, Shahbaz, Jeffrey Zuccato, Vladimir Ignatchenko, et al.. (2024). Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth. Acta Neuropathologica Communications. 12(1). 39–39. 2 indexed citations

Dvorkin‐Gheva, Anna, Stephen W. Chung, Shahbaz Khan, et al.. (2024). Cysteamine dioxygenase (ADO) governs cancer cell mitochondrial redox homeostasis through proline metabolism. Science Advances. 10(40). eadq0355–eadq0355. 3 indexed citations

Mikolajewicz, Nicholas, Patricia Yee, Alexandra Miller, et al.. (2024). Systematic Review of Cerebrospinal Fluid Biomarker Discovery in Neuro-Oncology: A Roadmap to Standardization and Clinical Application. Journal of Clinical Oncology. 42(16). 1961–1974. 13 indexed citations

Waas, Matthew, Christina Karamboulas, Shahbaz Khan, et al.. (2024). Molecular correlates for HPV-negative head and neck cancer engraftment prognosticate patient outcomes. Nature Communications. 15(1). 10869–10869. 3 indexed citations

10.

Leong, Hon S., Xiaoyong Huang, Urban Emmenegger, et al.. (2024). Targeting PLOD2 suppresses invasion and metastatic potential in radiorecurrent prostate cancer. SHILAP Revista de lepidopterología. 2(1). 60–60. 2 indexed citations

11.

Khan, Shahbaz, Vladimir Ignatchenko, Harald Hübner, et al.. (2022). Phosphoproteomic Analysis of Dopamine D2 Receptor Signaling Reveals Interplay of G Protein- and β-Arrestin-Mediated Effects. Journal of Proteome Research. 22(1). 259–271. 2 indexed citations

12.

Mikolajewicz, Nicholas, Shahbaz Khan, Sheila Mansouri, et al.. (2022). Leveraging the CSF proteome toward minimally-invasive diagnostics surveillance of brain malignancies. Neuro-Oncology Advances. 4(1). vdac161–vdac161. 10 indexed citations

13.

Miyake, Tetsuaki, Allen C. T. Teng, Jake Cosme, et al.. (2020). REEP5 depletion causes sarco-endoplasmic reticulum vacuolization and cardiac functional defects. Nature Communications. 11(1). 965–965. 29 indexed citations

14.

Wei, Yuhong, Ravi N. Vellanki, Étienne Coyaud, et al.. (2015). CHCHD2 Is Coamplified with EGFR in NSCLC and Regulates Mitochondrial Function and Cell Migration. Molecular Cancer Research. 13(7). 1119–1129. 47 indexed citations

15.

Ignatchenko, Vladimir, Martin A. Prusinkiewicz, Terra Arnason, et al.. (2015). A Genome Scale Screen for Mutants with Delayed Exit from Mitosis: Ire1-Independent Induction of Autophagy Integrates ER Homeostasis into Mitotic Lifespan. PLoS Genetics. 11(8). e1005429–e1005429. 23 indexed citations

16.

Rahbar, Ramtin, et al.. (2012). Glomulin: A Permissivity Factor for Vaccinia Virus Infection. Journal of Interferon & Cytokine Research. 32(3). 127–137. 2 indexed citations

17.

Cox, Brian, Parveen Sharma, Andreas Evangelou, et al.. (2011). Translational Analysis of Mouse and Human Placental Protein and mRNA Reveals Distinct Molecular Pathologies in Human Preeclampsia. Molecular & Cellular Proteomics. 10(12). M111.012526–M111.012526. 41 indexed citations

18.

Nalbant, Demet, Daniel Xia, Bernhard Suter, et al.. (2008). The Glc7 Phosphatase Subunit of the Cleavage and Polyadenylation Factor Is Essential for Transcription Termination on snoRNA Genes. Molecular Cell. 29(5). 577–587. 102 indexed citations

19.

Taguchi, Akihiko, G. Del Toro, Wu Qu, et al.. (2000). Blockade of RAGE–amphoterin signalling suppresses tumour growth and metastases. Nature. 405(6784). 354–360. 1058 indexed citations breakdown →

20.

Tanji, Nozomu, Glen S. Markowitz, Caifeng Fu, et al.. (2000). Expression of Advanced Glycation End Products and Their Cellular Receptor RAGE in Diabetic Nephropathy and Nondiabetic Renal Disease. Journal of the American Society of Nephrology. 11(9). 1656–1666. 399 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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