Daniel Fischer

6.7k total citations · 1 hit paper
105 papers, 5.1k citations indexed

About

Daniel Fischer is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Daniel Fischer has authored 105 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 25 papers in Materials Chemistry and 15 papers in Genetics. Recurrent topics in Daniel Fischer's work include Protein Structure and Dynamics (30 papers), Enzyme Structure and Function (23 papers) and Machine Learning in Bioinformatics (19 papers). Daniel Fischer is often cited by papers focused on Protein Structure and Dynamics (30 papers), Enzyme Structure and Function (23 papers) and Machine Learning in Bioinformatics (19 papers). Daniel Fischer collaborates with scholars based in Israel, United States and Finland. Daniel Fischer's co-authors include Leszek Rychlewski, Arne Elofsson, David Eisenberg, Naomi Siew, Krzysztof Ginalski, Ruth Nussinov, Haim J. Wolfson, Janusz M. Bujnicki, Yanbin Yin and Danny W. Rice and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Geophysical Research Atmospheres.

In The Last Decade

Daniel Fischer

101 papers receiving 4.9k citations

Hit Papers

3D-Jury: a simple approach to improve protein structure p... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Fischer Israel 40 4.0k 1.5k 394 388 378 105 5.1k
Peter J. Artymiuk United Kingdom 35 3.0k 0.7× 1.0k 0.7× 354 0.9× 615 1.6× 315 0.8× 79 4.6k
Dylan Chivian United States 24 3.3k 0.8× 1.0k 0.7× 523 1.3× 274 0.7× 283 0.7× 29 4.3k
Peter L. Freddolino United States 41 3.9k 1.0× 973 0.6× 480 1.2× 568 1.5× 326 0.9× 83 5.5k
Česlovas Venclovas Lithuania 37 4.5k 1.1× 1.1k 0.7× 474 1.2× 710 1.8× 350 0.9× 104 5.1k
Lukasz Jaroszewski United States 37 4.3k 1.1× 1.1k 0.7× 412 1.0× 437 1.1× 265 0.7× 97 5.6k
Francisco Melo Chile 26 4.0k 1.0× 963 0.6× 206 0.5× 396 1.0× 501 1.3× 70 5.5k
Richard Hughey United States 24 3.8k 1.0× 711 0.5× 255 0.6× 347 0.9× 184 0.5× 60 4.7k
David E. Kim United States 31 5.5k 1.4× 1.8k 1.2× 344 0.9× 503 1.3× 488 1.3× 58 6.6k
Pablo Chacón Spain 35 4.1k 1.0× 1.1k 0.7× 413 1.0× 589 1.5× 309 0.8× 72 5.3k
Leszek Rychlewski Poland 43 5.3k 1.3× 1.6k 1.0× 381 1.0× 692 1.8× 442 1.2× 126 6.8k

Countries citing papers authored by Daniel Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Fischer. A scholar is included among the top collaborators of Daniel Fischer 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 Daniel Fischer. Daniel Fischer 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
2.
Fischer, Daniel, Terhi Iso‐Touru, Ilma Tapio, et al.. (2025). The genome assembly of the farmed European whitefish Coregonus lavaretus L. from the Finnish selective breeding programme. BMC Genomic Data. 26(1). 22–22.
3.
Rehman, Attiq Ur, Terhi Iso‐Touru, Marja Rantanen, et al.. (2024). Multi‐model GWAS reveals key loci for horticultural traits in reconstructed garden strawberry. Physiologia Plantarum. 176(4). e14440–e14440. 4 indexed citations
4.
Calboli, Federico C. F., Terhi Iso‐Touru, Daniel Fischer, et al.. (2023). Genomic selection for survival under naturally occurring Saprolegnia oomycete infection in farmed European whitefish Coregonus lavaretus. Journal of Animal Science. 101. 3 indexed citations
6.
Tapio, Miika, Daniel Fischer, Päivi Mäntysaari, & Ilma Tapio. (2023). Rumen Microbiota Predicts Feed Efficiency of Primiparous Nordic Red Dairy Cows. Microorganisms. 11(5). 1116–1116. 9 indexed citations
7.
Fischer, Daniel, Klaus Nordhausen, & Hannu Oja. (2020). On linear dimension reduction based on diagonalization of scatter matrices for bioinformatics downstream analyses. Heliyon. 6(12). e05732–e05732. 3 indexed citations
8.
Fischer, Daniel, Saleh Yazdani, Liesbeth Demuyser, et al.. (2020). The involvement of the Candida glabrata trehalase enzymes in stress resistance and gut colonization. Virulence. 12(1). 329–345. 12 indexed citations
9.
Fischer, Daniel, Mervi Honkatukia, Maria Tuiskula-Haavisto, et al.. (2017). Subgroup detection in genotype data using invariant coordinate selection. BMC Bioinformatics. 18(1). 173–173. 9 indexed citations
10.
Fischer, Daniel, Tiina Wahlfors, Henna Mattila, et al.. (2015). MiRNA Profiles in Lymphoblastoid Cell Lines of Finnish Prostate Cancer Families. PLoS ONE. 10(5). e0127427–e0127427. 7 indexed citations
11.
Siltanen, Sanna, Daniel Fischer, Tommi Rantapero, et al.. (2013). ARLTS1 and Prostate Cancer Risk - Analysis of Expression and Regulation. PLoS ONE. 8(8). e72040–e72040. 11 indexed citations
12.
Girgis, Hani Z., Jason J. Corso, & Daniel Fischer. (2009). On-line hierarchy of general linear models for selecting and ranking the best predicted protein structures. PubMed. 2009. 4949–4953. 4 indexed citations
13.
Siew, Naomi & Daniel Fischer. (2003). Analysis of singleton ORFans in fully sequenced microbial genomes. Proteins Structure Function and Bioinformatics. 53(2). 241–251. 84 indexed citations
14.
Fischer, Daniel, et al.. (2003). Modeling three-dimensional protein structures for CASP5 using the 3D-SHOTGUN meta-predictors. Proteins Structure Function and Bioinformatics. 53(S6). 389–394. 7 indexed citations
15.
Cristóbal, Susana, Adam Zemła, Daniel Fischer, Leszek Rychlewski, & Arne Elofsson. (2001). A study of quality measures for protein threading models. BMC Bioinformatics. 2(1). 5–5. 170 indexed citations
16.
Bujnicki, Janusz M., Arne Elofsson, Daniel Fischer, & Leszek Rychlewski. (2001). Structure prediction meta server. Bioinformatics. 17(8). 750–751. 177 indexed citations
17.
Fischer, Daniel & David Eisenberg. (1996). Protein fold recognition using sequence‐derived predictions. Protein Science. 5(5). 947–955. 264 indexed citations
18.
Elofsson, Arne, Daniel Fischer, Danny W. Rice, Scott M. Le Grand, & David Eisenberg. (1996). A study of combined structure/sequence profiles. PubMed. 1(6). 451–461. 38 indexed citations
19.
Fischer, Daniel, Haim J. Wolfson, & Ruth Nussinov. (1993). Spatial, Sequence-Order-Independent Structural Comparison of α/β Proteins: Evolutionaiy Implications. Journal of Biomolecular Structure and Dynamics. 11(2). 367–380. 8 indexed citations
20.
Fischer, Daniel. (1992). Giotto's Curtain Call. S&T. 84. 500.

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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