Christopher Jahn

439 total citations
8 papers, 282 citations indexed

About

Christopher Jahn is a scholar working on Molecular Biology, Infectious Diseases and Pathology and Forensic Medicine. According to data from OpenAlex, Christopher Jahn has authored 8 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Christopher Jahn's work include Cancer-related gene regulation (3 papers), Developmental Biology and Gene Regulation (3 papers) and CRISPR and Genetic Engineering (2 papers). Christopher Jahn is often cited by papers focused on Cancer-related gene regulation (3 papers), Developmental Biology and Gene Regulation (3 papers) and CRISPR and Genetic Engineering (2 papers). Christopher Jahn collaborates with scholars based in Germany. Christopher Jahn's co-authors include Gilbert Weidinger, Thomas Thum, Sonja Groß, Christian Bär, Ivonne M. Sehring, J. Christof M. Gebhardt, Matthias Reisser, David M. Graham, Matthew P. Walker and Allison M. Deal and has published in prestigious journals such as Nature Communications, Scientific Reports and Current Opinion in Genetics & Development.

In The Last Decade

Christopher Jahn

7 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Jahn Germany	6	149	79	44	30	26	8	282
Indre Piragyte South Korea	7	130 0.9×	43 0.5×	29 0.7×	30 1.0×	53 2.0×	11	284
Rwik Sen United States	13	318 2.1×	34 0.4×	10 0.2×	43 1.4×	25 1.0×	30	400
Ambar Ahmed United States	6	142 1.0×	80 1.0×	32 0.7×	111 3.7×	12 0.5×	10	400
Domenico Roberti Italy	11	168 1.1×	14 0.2×	10 0.2×	25 0.8×	24 0.9×	42	365
Yaqun Teng China	10	350 2.3×	31 0.4×	28 0.6×	35 1.2×	36 1.4×	13	440
Rakesh K. Goyal United States	9	149 1.0×	22 0.3×	20 0.5×	14 0.5×	47 1.8×	12	321
Jianzhong Zhao China	7	213 1.4×	49 0.6×	10 0.2×	23 0.8×	25 1.0×	12	330
Daniela Cambria Italy	11	155 1.0×	21 0.3×	24 0.5×	25 0.8×	13 0.5×	16	321
Kalpana Gowrishankar India	10	172 1.2×	21 0.3×	15 0.3×	18 0.6×	25 1.0×	23	305
Wenguang Yin China	11	185 1.2×	36 0.5×	14 0.3×	32 1.1×	45 1.7×	20	336

Countries citing papers authored by Christopher Jahn

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Jahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Jahn

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

All Works

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8 of 8 papers shown

1.

Jahn, Christopher, Kristina Sonnenschein, Nico Lachmann, et al.. (2024). Generation of human induced pluripotent stem cell line MHHi029-A from a male Fabry disease patient carrying c.959A > T mutation. Stem Cell Research. 77. 103404–103404. 1 indexed citations

2.

Eggenschwiler, Reto, Christopher Jahn, Florian Länger, et al.. (2021). A selectable all-in-one CRISPR prime editing piggyBac transposon allows for highly efficient gene editing in human cell lines. Scientific Reports. 11(1). 22154–22154. 22 indexed citations

3.

Groß, Sonja, et al.. (2020). SARS-CoV-2 receptor ACE2-dependent implications on the cardiovascular system: From basic science to clinical implications. Journal of Molecular and Cellular Cardiology. 144. 47–53. 98 indexed citations

4.

Reisser, Matthias, et al.. (2018). Single-molecule imaging correlates decreasing nuclear volume with increasing TF-chromatin associations during zebrafish development. Nature Communications. 9(1). 5218–5218. 40 indexed citations

5.

Sehring, Ivonne M., Christopher Jahn, & Gilbert Weidinger. (2016). Zebrafish fin and heart: what's special about regeneration?. Current Opinion in Genetics & Development. 40. 48–56. 50 indexed citations

6.

Wehner, Daniel, Christopher Jahn, & Gilbert Weidinger. (2015). Use of the TetON System to Study Molecular Mechanisms of Zebrafish Regeneration. Journal of Visualized Experiments. e52756–e52756. 7 indexed citations

7.

Wehner, Daniel, Christopher Jahn, & Gilbert Weidinger. (2015). Use of the TetON System to Study Molecular Mechanisms of Zebrafish Regeneration. Journal of Visualized Experiments.

8.

Walker, Matthew P., Charles M. Stopford, Fang Fang, et al.. (2015). FOXP1 potentiates Wnt/β-catenin signaling in diffuse large B cell lymphoma. Science Signaling. 8(362). ra12–ra12. 64 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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