Jasmin Fisher

4.2k total citations · 1 hit paper
60 papers, 2.5k citations indexed

About

Jasmin Fisher is a scholar working on Molecular Biology, Aging and Biophysics. According to data from OpenAlex, Jasmin Fisher has authored 60 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 8 papers in Aging and 7 papers in Biophysics. Recurrent topics in Jasmin Fisher's work include Gene Regulatory Network Analysis (29 papers), Bioinformatics and Genomic Networks (17 papers) and Single-cell and spatial transcriptomics (10 papers). Jasmin Fisher is often cited by papers focused on Gene Regulatory Network Analysis (29 papers), Bioinformatics and Genomic Networks (17 papers) and Single-cell and spatial transcriptomics (10 papers). Jasmin Fisher collaborates with scholars based in United Kingdom, United States and Switzerland. Jasmin Fisher's co-authors include Thomas A. Henzinger, Nir Piterman, Berthold Göttgens, Steven Woodhouse, David Harel, Norman Sieroka, Matthias Köhler, Matthias Zentgraf, José S. Duca and Robert A. Goodnow and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jasmin Fisher

59 papers receiving 2.4k citations

Hit Papers

1 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.

Rethinking drug design in the artificial intelligence era

2019 496 citations Jasmin Fisher et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jasmin Fisher United Kingdom	23	1.6k	474	187	179	173	60	2.5k
Alexander Aliper Russia	29	1.4k 0.9×	790 1.7×	226 1.2×	43 0.2×	314 1.8×	58	3.1k
Yidong Chen United States	46	5.4k 3.3×	256 0.5×	436 2.3×	72 0.4×	70 0.4×	215	7.3k
Antonio del Sol Luxembourg	31	3.4k 2.1×	585 1.2×	287 1.5×	89 0.5×	361 2.1×	96	4.2k
Kevin R. Brown Canada	25	3.7k 2.3×	291 0.6×	213 1.1×	80 0.4×	49 0.3×	59	4.5k
Chris Stark Canada	10	4.4k 2.7×	630 1.3×	226 1.2×	36 0.2×	77 0.4×	12	5.1k
Bobby‐Joe Breitkreutz Canada	14	5.3k 3.3×	803 1.7×	248 1.3×	35 0.2×	87 0.5×	16	6.2k
Lorrie Boucher Canada	15	5.0k 3.1×	805 1.7×	241 1.3×	32 0.2×	85 0.5×	19	5.8k
Rose Oughtred United States	18	4.8k 2.9×	884 1.9×	236 1.3×	32 0.2×	215 1.2×	24	5.6k
Traver Hart United States	28	3.8k 2.4×	244 0.5×	323 1.7×	43 0.2×	43 0.2×	61	4.8k
Hans‐Peter Lenhof Germany	39	3.6k 2.3×	321 0.7×	393 2.1×	65 0.4×	159 0.9×	137	5.2k

Countries citing papers authored by Jasmin Fisher

Since Specialization

Citations

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

Fields of papers citing papers by Jasmin Fisher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasmin Fisher

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

1.

Pawlik, Piotr, Kristiana Grigoriadis, Abigail Bunkum, et al.. (2025). Clone copy number diversity is linked to survival in lung cancer. Nature. 646(8083). 190–197. 1 indexed citations

2.

Fisher, Jasmin, et al.. (2023). Multi-scale characterisation of homologous recombination deficiency in breast cancer. Genome Medicine. 15(1). 90–90. 7 indexed citations

3.

Fisher, Jasmin, et al.. (2023). Localized immune surveillance of primary melanoma in the skin deciphered through executable modeling. Science Advances. 9(15). eadd1992–eadd1992. 4 indexed citations

4.

Reuschl, Ann‐Kathrin, Tianyi Chen, Mervyn Singer, et al.. (2022). Executable network of SARS-CoV-2-host interaction predicts drug combination treatments. npj Digital Medicine. 5(1). 18–18. 10 indexed citations

5.

Silverbush, Dana, Shaun Grosskurth, Dennis Wang, et al.. (2016). Cell-Specific Computational Modeling of the PIM Pathway in Acute Myeloid Leukemia. Cancer Research. 77(4). 827–838. 25 indexed citations

6.

Chuang, Ryan, Benjamin A. Hall, Byron Cook, et al.. (2015). Drug Target Optimization in Chronic Myeloid Leukemia Using Innovative Computational Platform. Scientific Reports. 5(1). 8190–8190. 9 indexed citations

7.

Pu, Yewen, et al.. (2013). Synthesis of biological models from mutation experiments. 469–482. 22 indexed citations

8.

Beyer, Antje, et al.. (2012). Cell‐cycle regulation of NOTCH signaling during C. elegans vulval development. Molecular Systems Biology. 8(1). 618–618. 30 indexed citations

9.

Cook, Byron, et al.. (2012). Bio Model Analyzer: Visual Tool for Modeling and Analysis of Biological Networks. 3 indexed citations

10.

Feiglin, Ariel, et al.. (2012). Static network structure can be used to model the phenotypic effects of perturbations in regulatory networks. Bioinformatics. 28(21). 2811–2818. 16 indexed citations

11.

Cook, Byron, et al.. (2011). Proving stabilization of biological systems. 6538. 134–149. 12 indexed citations

12.

Fisher, Jasmin, David Harel, & Thomas A. Henzinger. (2011). Biology as reactivity. Communications of the ACM. 54(10). 72–82. 32 indexed citations

13.

Beyer, Antje, Ralf Eberhard, Nir Piterman, et al.. (2011). A Dynamic Physical Model of Cell Migration, Differentiation and Apoptosis in Caenorhabditis elegans. Advances in experimental medicine and biology. 736. 211–233. 4 indexed citations

14.

Wang, Dennis, Luca Cardelli, Andrew Phillips, Nir Piterman, & Jasmin Fisher. (2009). Computational modeling of the EGFR network elucidates control mechanisms regulating signal dynamics. BMC Systems Biology. 3(1). 118–118. 27 indexed citations

15.

Fisher, Jasmin, et al.. (2008). Dichotomies between computational and mathematical models (Correspondence). Nature Biotechnology. 26. 737-8–738-9. 3 indexed citations

16.

Kam, Naaman, Hillel Kugler, Rami Marelly, et al.. (2008). A scenario-based approach to modeling development: A prototype model of C. elegans vulval fate specification. Developmental Biology. 323(1). 1–5. 22 indexed citations

17.

Fisher, Jasmin. (2008). Proceedings of the 1st international workshop on Formal Methods in Systems Biology. 3 indexed citations

18.

Fisher, Jasmin & Thomas A. Henzinger. (2006). Executable biology. Winter Simulation Conference. 1675–1682. 11 indexed citations

19.

Wolf, Susanne A., Jasmin Fisher, Ingo Bechmann, et al.. (2002). Neuroprotection by T-cells depends on their subtype and activation state. Journal of Neuroimmunology. 133(1-2). 72–80. 60 indexed citations

20.

Fisher, Jasmin, Tal Mizrahi, Hadas Schori, et al.. (2001). Increased post-traumatic survival of neurons in IL-6-knockout mice on a background of EAE susceptibility. Journal of Neuroimmunology. 119(1). 1–9. 49 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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