Tamar Ziehm

33 total papers · 440 total citations
18 papers, 353 citations indexed

About

Tamar Ziehm is a scholar working on Physiology, Molecular Biology and Oncology. According to data from OpenAlex, Tamar Ziehm has authored 18 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 7 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Tamar Ziehm's work include Alzheimer's disease research and treatments (14 papers), Amino Acid Enzymes and Metabolism (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). Tamar Ziehm is often cited by papers focused on Alzheimer's disease research and treatments (14 papers), Amino Acid Enzymes and Metabolism (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). Tamar Ziehm collaborates with scholars based in Germany, United States and Australia. Tamar Ziehm's co-authors include Dieter Willbold, Janine Kutzsche, Lothar Gremer, Antje Willuweit, N. Jon Shah, Karl‐Josef Langen, Markus Tusche, Oleksandr Brener, Inga Kadish and Nan Jiang and has published in prestigious journals such as PLoS ONE, Chemical Communications and Scientific Reports.

In The Last Decade

Tamar Ziehm

18 papers receiving 350 citations

Author Peers

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

Author Last Decade Papers Cites
Tamar Ziehm 233 174 81 61 53 18 353
Ellen Hubin 225 1.0× 161 0.9× 58 0.7× 39 0.6× 24 0.5× 9 301
Cillian Byrne 165 0.7× 234 1.3× 37 0.5× 50 0.8× 25 0.5× 16 384
Nicolò Tonali 140 0.6× 234 1.3× 41 0.5× 49 0.8× 47 0.9× 31 370
Leonard N. Boggs 277 1.2× 139 0.8× 99 1.2× 114 1.9× 89 1.7× 20 381
Krishnangsu Pradhan 121 0.5× 136 0.8× 55 0.7× 97 1.6× 26 0.5× 18 345
Giuseppe Terracina 153 0.7× 157 0.9× 64 0.8× 69 1.1× 30 0.6× 18 329
Filippa Lo Cascio 176 0.8× 184 1.1× 32 0.4× 46 0.8× 18 0.3× 11 366
Sara García‐Viñuales 181 0.8× 196 1.1× 26 0.3× 47 0.8× 36 0.7× 19 357
Monika Baudler 194 0.8× 149 0.9× 48 0.6× 87 1.4× 39 0.7× 24 384
Zhao Ren 140 0.6× 191 1.1× 51 0.6× 61 1.0× 39 0.7× 17 361

Countries citing papers authored by Tamar Ziehm

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Ziehm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamar Ziehm

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