D Schmähl

108 total papers · 864 total citations
75 papers, 692 citations indexed

About

D Schmähl is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, D Schmähl has authored 75 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Organic Chemistry and 12 papers in Oncology. Recurrent topics in D Schmähl's work include Retinoids in leukemia and cellular processes (5 papers), Amino Acid Enzymes and Metabolism (5 papers) and Diet, Metabolism, and Disease (5 papers). D Schmähl is often cited by papers focused on Retinoids in leukemia and cellular processes (5 papers), Amino Acid Enzymes and Metabolism (5 papers) and Diet, Metabolism, and Disease (5 papers). D Schmähl collaborates with scholars based in Germany, United States and Austria. D Schmähl's co-authors include M. Habs, F. Wingen, Gerhard Eisenbrand, R. Preußmann, B.L. Pool, Martin R. Berger, U. Möhr, Friedrich Krüger, William Lijinsky and Edgar Petru and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Annals of the New York Academy of Sciences and British Journal of Cancer.

In The Last Decade

D Schmähl

74 papers receiving 617 citations

Author Peers

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

Author Last Decade Papers Cites
D Schmähl 207 194 177 85 82 75 692
Georgiana M. Bonser 194 0.9× 205 1.1× 98 0.6× 71 0.8× 91 1.1× 37 773
Morris S. Zedeck 223 1.1× 128 0.7× 171 1.0× 78 0.9× 45 0.5× 33 657
Eiji Araki 323 1.6× 113 0.6× 200 1.1× 41 0.5× 31 0.4× 41 789
Cornelia Hoch‐Ligeti 179 0.9× 178 0.9× 68 0.4× 28 0.3× 71 0.9× 51 582
C. M. Goodall 183 0.9× 138 0.7× 61 0.3× 33 0.4× 105 1.3× 42 664
Ryo Fukunishi 188 0.9× 120 0.6× 102 0.6× 38 0.4× 57 0.7× 46 617
Toyohiko Aoki 394 1.9× 297 1.5× 95 0.5× 29 0.3× 101 1.2× 38 758
Hitoshi Iwata 202 1.0× 162 0.8× 180 1.0× 43 0.5× 46 0.6× 73 784
L. A. Elson 268 1.3× 92 0.5× 124 0.7× 142 1.7× 22 0.3× 40 762
Margaret G. Kelly 233 1.1× 101 0.5× 78 0.4× 64 0.8× 41 0.5× 32 562

Countries citing papers authored by D Schmähl

Since Specialization
Citations

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

Fields of papers citing papers by D Schmähl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Schmähl

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