Angie Kirchner

13 total papers · 500 total citations
11 papers, 396 citations indexed

About

Angie Kirchner is a scholar working on Molecular Biology, Organic Chemistry and Genetics. According to data from OpenAlex, Angie Kirchner has authored 11 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Organic Chemistry and 1 paper in Genetics. Recurrent topics in Angie Kirchner's work include Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (4 papers). Angie Kirchner is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (4 papers). Angie Kirchner collaborates with scholars based in Germany, United Kingdom and United States. Angie Kirchner's co-authors include Thomas Carell, Markus Müller, Arne S. Schröder, Anthony G. Wedd, Tessa R. Young, Zhiguang Xiao, Fabio Spada, René Rahimoff, Olesea Kosmatchev and Meng Su and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Angie Kirchner

11 papers receiving 393 citations

Hit Papers

G-quadruplex DNA structur... 2024 2026 2024 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Angie Kirchner 293 52 45 42 40 11 396
S. Kwiatkowski 174 0.6× 76 1.5× 35 0.8× 10 0.2× 40 1.0× 24 338
Tomasz Borowik 242 0.8× 170 3.3× 36 0.8× 10 0.2× 16 0.4× 15 409
Toshiharu Tsurumura 170 0.6× 31 0.6× 70 1.6× 6 0.1× 9 0.2× 16 340
Karol Kociolek 263 0.9× 17 0.3× 80 1.8× 9 0.2× 65 1.6× 14 420
Cynthia S. Randall 223 0.8× 13 0.3× 49 1.1× 31 0.7× 25 0.6× 9 339
David Toledo‐Velasquez 207 0.7× 22 0.4× 50 1.1× 5 0.1× 43 1.1× 10 392
Diana C. Rodriguez Camargo 246 0.8× 227 4.4× 61 1.4× 12 0.3× 14 0.3× 15 433
H. J. Koeners 173 0.6× 10 0.2× 81 1.8× 93 2.2× 239 6.0× 12 360
Daniel T. Ladror 166 0.6× 133 2.6× 22 0.5× 8 0.2× 13 0.3× 14 398
Jennifer L. Chaytor 96 0.3× 25 0.5× 13 0.3× 43 1.0× 87 2.2× 10 420

Countries citing papers authored by Angie Kirchner

Since Specialization
Citations

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

Fields of papers citing papers by Angie Kirchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angie Kirchner

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

All Works

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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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