Susanne Wied

43 total papers · 1.6k total citations
36 papers, 1.2k citations indexed

About

Susanne Wied is a scholar working on Molecular Biology, Surgery and Biochemistry. According to data from OpenAlex, Susanne Wied has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 20 papers in Surgery and 13 papers in Biochemistry. Recurrent topics in Susanne Wied's work include Pancreatic function and diabetes (20 papers), Lipid metabolism and biosynthesis (13 papers) and Metabolism, Diabetes, and Cancer (10 papers). Susanne Wied is often cited by papers focused on Pancreatic function and diabetes (20 papers), Lipid metabolism and biosynthesis (13 papers) and Metabolism, Diabetes, and Cancer (10 papers). Susanne Wied collaborates with scholars based in Germany and France. Susanne Wied's co-authors include Günter Müller, Wendelin Frick, Christian Jung, Gabriele Biemer‐Daub, Marion Schneider, Andrea S. Bauer, Jochen Bauer, Anna C. Crecelius, Julia Straub and Stefan Welte and has published in prestigious journals such as Molecular and Cellular Biology, Biochemistry and Diabetes.

In The Last Decade

Susanne Wied

36 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Susanne Wied 777 310 282 273 218 36 1.2k
Kan Liao 945 1.2× 133 0.4× 326 1.2× 353 1.3× 236 1.1× 35 1.5k
Shadab A. Siddiqi 563 0.7× 413 1.3× 471 1.7× 189 0.7× 210 1.0× 33 1.3k
Ahmed Bakillah 643 0.8× 330 1.1× 207 0.7× 198 0.7× 170 0.8× 46 1.4k
Vı́ctor Cortés 520 0.7× 393 1.3× 146 0.5× 384 1.4× 265 1.2× 50 1.3k
Conrad A. Hornick 538 0.7× 457 1.5× 236 0.8× 142 0.5× 187 0.9× 32 1.3k
Rangnath Mishra 766 1.0× 143 0.5× 140 0.5× 198 0.7× 114 0.5× 40 1.4k
H Jamil 705 0.9× 252 0.8× 251 0.9× 90 0.3× 114 0.5× 28 1.2k
Jia Nie 800 1.0× 244 0.8× 105 0.4× 158 0.6× 256 1.2× 43 1.2k
Hong‐Hua Miao 515 0.7× 484 1.6× 207 0.7× 116 0.4× 119 0.5× 20 1.1k
Ying Du 746 1.0× 232 0.7× 223 0.8× 321 1.2× 303 1.4× 49 1.5k

Countries citing papers authored by Susanne Wied

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Wied

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Wied

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