Jana Fischer

2.5k total citations · 2 hit papers
13 papers, 1.2k citations indexed

About

Jana Fischer is a scholar working on Molecular Biology, Oncology and Biophysics. According to data from OpenAlex, Jana Fischer has authored 13 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Biophysics. Recurrent topics in Jana Fischer's work include Single-cell and spatial transcriptomics (4 papers), Cancer Cells and Metastasis (3 papers) and Cell Image Analysis Techniques (3 papers). Jana Fischer is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cancer Cells and Metastasis (3 papers) and Cell Image Analysis Techniques (3 papers). Jana Fischer collaborates with scholars based in Germany, Switzerland and United Kingdom. Jana Fischer's co-authors include Hartland W. Jackson, Bernd Bodenmiller, Vito Riccardo Tomaso Zanotelli, Zsuzsanna Varga, Daniel Schulz, Denis Schapiro, Holger Moch, H. Raza Ali, Savas D. Soysal and Simone Muenst and has published in prestigious journals such as Nature, Nature Methods and The FASEB Journal.

In The Last Decade

Jana Fischer

13 papers receiving 1.2k citations

Hit Papers

The single-cell pathology... 2017 2026 2020 2023 2020 2017 100 200 300 400 500
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.

  1. The single-cell pathology landscape of breast cancer
    2020 530 citations Hartland W. Jackson, Jana Fischer et al. Nature profile →
  2. histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data
    2017 375 citations Denis Schapiro, Hartland W. Jackson et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jana Fischer Germany 9 791 354 297 279 213 13 1.2k
Monica Nicolau United States 15 862 1.1× 305 0.9× 91 0.3× 142 0.5× 250 1.2× 24 1.5k
Shannon M. Mumenthaler United States 21 593 0.7× 439 1.2× 93 0.3× 128 0.5× 249 1.2× 68 1.4k
Kristin Roman United States 6 292 0.4× 307 0.9× 118 0.4× 233 0.8× 76 0.4× 13 766
Alma Andersson Sweden 11 951 1.2× 131 0.4× 180 0.6× 269 1.0× 238 1.1× 18 1.3k
Fabian Coscia Germany 17 1.1k 1.4× 332 0.9× 71 0.2× 184 0.7× 266 1.2× 29 1.7k
Lars Philipsen Germany 17 477 0.6× 131 0.4× 193 0.6× 345 1.2× 58 0.3× 32 943
Xin Shao China 17 1.1k 1.4× 116 0.3× 201 0.7× 223 0.8× 295 1.4× 44 1.5k
Darren R. Tyson United States 25 1.0k 1.3× 546 1.5× 73 0.2× 110 0.4× 360 1.7× 55 1.7k
Jue Hou United States 15 395 0.5× 175 0.5× 89 0.3× 72 0.3× 235 1.1× 48 963
Nils Eling Switzerland 13 969 1.2× 272 0.8× 126 0.4× 292 1.0× 397 1.9× 23 1.6k

Countries citing papers authored by Jana Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Jana Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Fischer

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

All Works

13 of 13 papers shown
1.
Fischer, Jana, Hartland W. Jackson, Natalie de Souza, et al.. (2023). Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers. Cell Reports Medicine. 4(3). 100977–100977. 18 indexed citations
2.
Caetano-Pinto, Pedro, et al.. (2022). In Vitro Characterization of Renal Drug Transporter Activity in Kidney Cancer. International Journal of Molecular Sciences. 23(17). 10177–10177. 9 indexed citations
3.
Fischer, Jana, Mark S. Gresnigt, Oliver Werz, Bernhard Hube, & Ulrike Garscha. (2021). Candida albicans ‐induced leukotriene biosynthesis in neutrophils is restricted to the hyphal morphology. The FASEB Journal. 35(10). e21820–e21820. 13 indexed citations
4.
Jackson, Hartland W., Jana Fischer, Vito Riccardo Tomaso Zanotelli, et al.. (2020). The single-cell pathology landscape of breast cancer. Nature. 578(7796). 615–620. 530 indexed citations breakdown →
5.
Fischer, Jana, Annika I. Ostermann, Ina Willenberg, et al.. (2019). Impact of food polyphenols on oxylipin biosynthesis in human neutrophils. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1864(10). 1536–1544. 14 indexed citations
6.
Schulz, Daniel, Vito Riccardo Tomaso Zanotelli, Jana Fischer, et al.. (2017). Simultaneous Multiplexed Imaging of mRNA and Proteins with Subcellular Resolution in Breast Cancer Tissue Samples by Mass Cytometry. Cell Systems. 6(1). 25–36.e5. 205 indexed citations
7.
Schapiro, Denis, Hartland W. Jackson, Jana Fischer, et al.. (2017). histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data. Nature Methods. 14(9). 873–876. 375 indexed citations breakdown →
8.
Fischer, Jana, Gunnar Kleinau, Claudia Rutz, et al.. (2017). Evidence of G-protein-coupled receptor and substrate transporter heteromerization at a single molecule level. Cellular and Molecular Life Sciences. 75(12). 2227–2239. 17 indexed citations
9.
Müller, Anne, Wenke Jonas, Chun‐Xia Yi, et al.. (2016). Ring Finger Protein 11 Inhibits Melanocortin 3 and 4 Receptor Signaling. Frontiers in Endocrinology. 7. 109–109. 4 indexed citations
10.
Zwanziger, Denise, Mathias Schmidt, Jana Fischer, et al.. (2016). The long N-terminus of the human monocarboxylate transporter 8 is a target of ubiquitin-dependent proteasomal degradation which regulates protein expression and oligomerization capacity. Molecular and Cellular Endocrinology. 434. 278–287. 5 indexed citations
11.
Fischer, Jana, Gunnar Kleinau, Anne Müller, et al.. (2014). Modulation of monocarboxylate transporter 8 oligomerization by specific pathogenic mutations. Journal of Molecular Endocrinology. 54(1). 39–50. 17 indexed citations
12.
Gudziol, H., Jana Fischer, Thomas Bitter, & Orlando Guntinas‐Lichius. (2014). Chemosensory event-related brain potentials (CSERP) after strictly monorhinal stimulation. International Journal of Psychophysiology. 93(3). 305–310. 8 indexed citations
13.
Müller, Anne, Brinja Leinweber, Jana Fischer, et al.. (2014). The extracellular N-terminal domain of G-protein coupled receptor 83 regulates signaling properties and is an intramolecular inverse agonist. BMC Research Notes. 7(1). 913–913. 8 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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