Tim Kacprowski

8.1k total citations · 1 hit paper
71 papers, 1.9k citations indexed

About

Tim Kacprowski is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Tim Kacprowski has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Genetics. Recurrent topics in Tim Kacprowski's work include Bioinformatics and Genomic Networks (15 papers), RNA Research and Splicing (10 papers) and Gut microbiota and health (8 papers). Tim Kacprowski is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), RNA Research and Splicing (10 papers) and Gut microbiota and health (8 papers). Tim Kacprowski collaborates with scholars based in Germany, Denmark and United Kingdom. Tim Kacprowski's co-authors include Jan Baumbach, Uwe Völker, Markus List, Georg Homuth, Mario Albrecht, Maik Pietzner, Fabian Frost, Sandra Reitmeier, Malte Rühlemann and Monica Steffi Matchado and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Tim Kacprowski

66 papers receiving 1.9k 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.

Network analysis methods for studying microbial communities: A mini review

2021 197 citations Tim Kacprowski, Jan Baumbach et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Kacprowski Germany	26	1.1k	261	246	231	154	71	1.9k
Jessica Ewald Canada	18	1.6k 1.4×	296 1.1×	330 1.3×	137 0.6×	166 1.1×	35	3.1k
Lina Zhang China	23	535 0.5×	289 1.1×	129 0.5×	117 0.5×	127 0.8×	131	1.8k
Jennifer Clarke United States	24	1.1k 1.0×	237 0.9×	248 1.0×	225 1.0×	207 1.3×	94	2.4k
Constantin Georgescu United States	22	1.3k 1.2×	307 1.2×	322 1.3×	132 0.6×	169 1.1×	74	2.3k
Yao Wang China	28	1.0k 0.9×	290 1.1×	170 0.7×	164 0.7×	75 0.5×	121	2.3k
Magbubah Essack Saudi Arabia	29	1.4k 1.3×	419 1.6×	283 1.2×	132 0.6×	113 0.7×	81	2.9k
Alexandra Sirota‐Madi United States	10	1.7k 1.5×	208 0.8×	249 1.0×	82 0.4×	117 0.8×	12	2.6k
Pablo Marín-García Spain	13	839 0.8×	165 0.6×	157 0.6×	102 0.4×	99 0.6×	24	1.4k
Yehudit Hasin-Brumshtein United States	16	1.2k 1.1×	207 0.8×	281 1.1×	82 0.4×	86 0.6×	23	2.4k
John P. Rooney United States	28	1.5k 1.4×	188 0.7×	274 1.1×	62 0.3×	125 0.8×	59	2.7k

Countries citing papers authored by Tim Kacprowski

Since Specialization

Citations

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

Fields of papers citing papers by Tim Kacprowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Kacprowski

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

Blumenthal, David B., et al.. (2025). Identification of Transcriptional Regulators Using a Combined Disease Module Identification and Prize-Collecting Steiner Tree Approach. 1(1).

Tsoy, Olga, Elke Hammer, Stefan Simm, et al.. (2025). Alternative Splicing in Mechanically Stretched Podocytes as a Model of Glomerular Hypertension. Journal of the American Society of Nephrology. 36(9). 1702–1715. 1 indexed citations

List, Markus, Jan Baumbach, Uwe Völker, et al.. (2024). Inference of differential gene regulatory networks using boosted differential trees. Bioinformatics Advances. 4(1). vbae034–vbae034. 1 indexed citations

Dathe, Henning, et al.. (2023). Quantifying Alterations over Time in ST-segment/T-wave Amplitudes During Elective Percutaneous Coronary Intervention. Computing in cardiology. 1 indexed citations

Illés, Zsolt, Maléne Møller Jørgensen, Rikke Bæk, et al.. (2023). New Enhancing MRI Lesions Associate with IL-17, Neutrophil Degranulation and Integrin Microparticles: Multi-Omics Combined with Frequent MRI in Multiple Sclerosis. Biomedicines. 11(12). 3170–3170. 2 indexed citations

Sadegh, Sepideh, Elisa Anastasi, Nils M. Kriege, et al.. (2023). Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond. Nature Communications. 14(1). 1662–1662. 8 indexed citations

Balke, Wolf‐Tilo, et al.. (2023). Should Artificial Intelligence be used to support clinical ethical decision-making? A systematic review of reasons. BMC Medical Ethics. 24(1). 48–48. 31 indexed citations

Stögbauer, Fabian, Christine Brambs, Tim Kacprowski, et al.. (2023). Independent Tissue-Based Biomarkers in Endometrioid Endometrial Cancer: Tumor Budding in Microsatellite Instability and WHO Grading in Copy-Number-Low Patients. Cancers. 15(15). 3832–3832. 1 indexed citations

Baumbach, Jan, Wilko Weichert, Katja Steiger, et al.. (2022). The limits of molecular signatures for pancreatic ductal adenocarcinoma subtyping. NAR Cancer. 4(4). zcac030–zcac030. 4 indexed citations

10.

Louadi, Zakaria, et al.. (2022). Systematic analysis of alternative splicing in time course data using Spycone. Bioinformatics. 39(1). 2 indexed citations

11.

Tsoy, Olga, Zakaria Louadi, Uwe Völker, et al.. (2022). Alternative splicing analysis benchmark with DICAST. NAR Genomics and Bioinformatics. 5(2). lqad044–lqad044. 6 indexed citations

12.

Hoffmann, Georg, et al.. (2022). A zlog-based algorithm and tool for plausibility checks of reference intervals. Clinical Chemistry and Laboratory Medicine (CCLM). 61(2). 260–265. 4 indexed citations

13.

Sadegh, Sepideh, Jan Baumbach, Sándor P. Fekete, et al.. (2021). Robust disease module mining via enumeration of diverse prize-collecting Steiner trees. Bioinformatics. 38(6). 1600–1606. 17 indexed citations

14.

Frisch, Tobias, Maria L. Elkjaer, Richard Reynolds, et al.. (2020). Multiple Sclerosis Atlas: A Molecular Map of Brain Lesion Stages in Progressive Multiple Sclerosis. SHILAP Revista de lepidopterología. 3(1). 122–129. 17 indexed citations

15.

Canzar, Stefan, Jan Baumbach, David B. Blumenthal, et al.. (2020). BiCoN: network-constrained biclustering of patients and omics data. Bioinformatics. 37(16). 2398–2404. 15 indexed citations

16.

Blumenthal, David B., Lorenzo Viola, Markus List, et al.. (2020). EpiGEN: an epistasis simulation pipeline. Bioinformatics. 36(19). 4957–4959. 10 indexed citations

17.

Blumenthal, David B., Jan Baumbach, Markus Hoffmann, Tim Kacprowski, & Markus List. (2020). A framework for modeling epistatic interaction. Bioinformatics. 37(12). 1708–1716. 4 indexed citations

18.

Louadi, Zakaria, Olga Tsoy, Olga V. Kalinina, et al.. (2020). DIGGER: exploring the functional role of alternative splicing in protein interactions. Nucleic Acids Research. 49(D1). D309–D318. 26 indexed citations

19.

Bouter, Yvonne, Tim Kacprowski, Robert Weißmann, et al.. (2014). Deciphering the Molecular Profile of Plaques, Memory Decline and Neuron Loss in Two Mouse Models for Alzheimerâ€™s Disease by Deep Sequencing. Frontiers in Aging Neuroscience. 6. 75–75. 70 indexed citations

20.

Emig, Dorothea, Tim Kacprowski, & Mario Albrecht. (2011). Measuring and analyzing tissue specificity of human genes and protein complexes. PubMed. 2011(1). 5–5. 14 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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