Franziska Mech

10 total papers · 436 total citations
10 papers, 338 citations indexed

About

Franziska Mech is a scholar working on Molecular Biology, Infectious Diseases and Biophysics. According to data from OpenAlex, Franziska Mech has authored 10 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Biophysics. Recurrent topics in Franziska Mech's work include Cell Image Analysis Techniques (2 papers), Antifungal resistance and susceptibility (2 papers) and T-cell and B-cell Immunology (2 papers). Franziska Mech is often cited by papers focused on Cell Image Analysis Techniques (2 papers), Antifungal resistance and susceptibility (2 papers) and T-cell and B-cell Immunology (2 papers). Franziska Mech collaborates with scholars based in Germany and United Kingdom. Franziska Mech's co-authors include Marc Thilo Figge, Reinhard Guthke, Sarah L. Waters, Helen M. Byrne, Joshua A. Bull, Axel A. Brakhage, Miguel Tovar, Emerson Zang, Andreas Thywißen and Martin M. Roth and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and Lab on a Chip.

In The Last Decade

Franziska Mech

10 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
Franziska Mech	112	98	89	51	42	10	338
Andrea C. Timm	99 0.9×	151 1.5×	29 0.3×	28 0.5×	40 1.0×	16	333
Tsui-Wen Chou	106 0.9×	128 1.3×	124 1.4×	62 1.2×	111 2.6×	13	387
Antonina Naskalska	27 0.2×	133 1.4×	110 1.2×	87 1.7×	46 1.1×	15	341
Stephanie E. McCalla	277 2.5×	210 2.1×	59 0.7×	6 0.1×	14 0.3×	15	373
Shin I. Nishimura	40 0.4×	108 1.1×	20 0.2×	20 0.4×	76 1.8×	15	297
Annalee W. Nguyen	33 0.3×	179 1.8×	103 1.2×	46 0.9×	60 1.4×	18	358
Gregor Sagner	65 0.6×	184 1.9×	16 0.2×	19 0.4×	34 0.8×	10	353
Meleana M. Hinchman	35 0.3×	183 1.9×	61 0.7×	60 1.2×	50 1.2×	15	331
Marvin S. Peterson	45 0.4×	221 2.3×	20 0.2×	78 1.5×	17 0.4×	17	402
Shangying Wang	76 0.7×	213 2.2×	24 0.3×	26 0.5×	11 0.3×	14	402

Countries citing papers authored by Franziska Mech

Since Specialization

Citations

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

Fields of papers citing papers by Franziska Mech

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franziska Mech

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