Tim Johann

406 total citations
10 papers, 150 citations indexed

About

Tim Johann is a scholar working on Biomedical Engineering, Cell Biology and Surgery. According to data from OpenAlex, Tim Johann has authored 10 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 3 papers in Cell Biology and 2 papers in Surgery. Recurrent topics in Tim Johann's work include 3D Printing in Biomedical Research (4 papers), Cellular Mechanics and Interactions (3 papers) and Cell Image Analysis Techniques (2 papers). Tim Johann is often cited by papers focused on 3D Printing in Biomedical Research (4 papers), Cellular Mechanics and Interactions (3 papers) and Cell Image Analysis Techniques (2 papers). Tim Johann collaborates with scholars based in Germany, France and Spain. Tim Johann's co-authors include Dirk Drasdo, Paul Van Liedekerke, Stefan Hoehme, Kévin Alessandri, Pierre Nassoy, Adrian Friebel, Steffen Grosser, Razif R. Gabdoulline, Anna Feldman‐Salit and Seddik Hammad and has published in prestigious journals such as Bioinformatics, Proteins Structure Function and Bioinformatics and PLoS Computational Biology.

In The Last Decade

Tim Johann

10 papers receiving 150 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Johann Germany	6	54	45	42	32	24	10	150
Darius M. Johnston United States	5	58 1.1×	55 1.2×	85 2.0×	12 0.4×	3 0.1×	7	224
Ian T. Stancil United States	7	92 1.7×	65 1.4×	47 1.1×	4 0.1×	2 0.1×	7	239
Fazhi Yu China	8	36 0.7×	25 0.6×	57 1.4×		18 0.8×	13	192
Edwin F. Juarez United States	8	24 0.4×	33 0.7×	114 2.7×	22 0.7×		9	184
Peter Cruz‐Gordillo United States	6	12 0.2×	19 0.4×	72 1.7×	5 0.2×	2 0.1×	8	139
Simone Di Giacomo Italy	8	56 1.0×	5 0.1×	129 3.1×	24 0.8×	3 0.1×	10	284
Ouriel Caën France	7	38 0.7×	212 4.7×	82 2.0×	13 0.4×		8	315
Nilmani Singh United States	9	52 1.0×	17 0.4×	194 4.6×	2 0.1×	3 0.1×	18	266
Mohammad Soheilypour United States	11	113 2.1×	43 1.0×	203 4.8×	6 0.2×		13	315
Fergus Cooper United Kingdom	6	64 1.2×	33 0.7×	57 1.4×	13 0.4×		7	189

Countries citing papers authored by Tim Johann

Since Specialization

Citations

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

Fields of papers citing papers by Tim Johann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Johann

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

All Works

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10 of 10 papers shown

Johann, Tim, et al.. (2024). Anonymize or synthesize? Privacy-preserving methods for heart failure score analytics. European Heart Journal - Digital Health. 6(1). 147–154. 1 indexed citations

Bartschke, Alexander, Christoph Dieterich, Tim Johann, et al.. (2023). Insights into the FAIRness of the German Network University Medicine: A Survey. Studies in health technology and informatics. 302. 741–742. 1 indexed citations

Liedekerke, Paul Van, et al.. (2022). Quantitative modeling identifies critical cell mechanics driving bile duct lumen formation. PLoS Computational Biology. 18(2). e1009653–e1009653. 10 indexed citations

Friebel, Adrian, Tim Johann, Dirk Drasdo, & Stefan Hoehme. (2022). Guided interactive image segmentation using machine learning and color-based image set clustering. Bioinformatics. 38(19). 4622–4628. 3 indexed citations

Liedekerke, Paul Van, et al.. (2019). A quantitative high-resolution computational mechanics cell model for growing and regenerating tissues. Biomechanics and Modeling in Mechanobiology. 19(1). 189–220. 37 indexed citations

Liedekerke, Paul Van, et al.. (2019). Quantitative cell-based model predicts mechanical stress response of growing tumor spheroids over various growth conditions and cell lines. PLoS Computational Biology. 15(3). e1006273–e1006273. 37 indexed citations

Liedekerke, Paul Van, et al.. (2019). A quantitative high resolution computational cell model to unravel the mechanics in living tissues. Computer Methods in Biomechanics & Biomedical Engineering. 22(sup1). S367–S369. 1 indexed citations

Peeters, Geert, Charlotte Debbaut, Adrian Friebel, et al.. (2017). Quantitative analysis of hepatic macro‐ and microvascular alterations during cirrhogenesis in the rat. Journal of Anatomy. 232(3). 485–496. 19 indexed citations

Friebel, Adrian, Tim Johann, Seddik Hammad, et al.. (2015). TiQuant: software for tissue analysis, quantification and surface reconstruction. Bioinformatics. 31(19). 3234–3236. 20 indexed citations

10.

Gabdoulline, Razif R., Ting Wang, Anna Feldman‐Salit, et al.. (2008). Protein–protein docking by simulating the process of association subject to biochemical constraints. Proteins Structure Function and Bioinformatics. 71(4). 1955–1969. 21 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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