Annette C. Schmid

17 total papers · 1.1k total citations
16 papers, 912 citations indexed

About

Annette C. Schmid is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cell Biology. According to data from OpenAlex, Annette C. Schmid has authored 16 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Cell Biology. Recurrent topics in Annette C. Schmid's work include Growth Hormone and Insulin-like Growth Factors (7 papers), Thyroid Disorders and Treatments (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). Annette C. Schmid is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (7 papers), Thyroid Disorders and Treatments (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). Annette C. Schmid collaborates with scholars based in Switzerland, Germany and United Kingdom. Annette C. Schmid's co-authors include M. Reinecke, Rüdiger Woscholski, Ramón Vilar, Dominique Loffing‐Cueni, Richard Byrne, Werner Kloas, Robert L. Nussbaum, Helen Wise, Christina A. Mitchell and Ilka Lutz and has published in prestigious journals such as FEBS Letters, Endocrinology and European Journal of Neuroscience.

In The Last Decade

Annette C. Schmid

15 papers receiving 888 citations

Author Peers

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

Author Last Decade Papers Cites
Annette C. Schmid 403 261 169 143 115 16 912
Betty S. Baker 760 1.9× 225 0.9× 336 2.0× 46 0.3× 45 0.4× 20 1.2k
Donald J. Fletcher 477 1.2× 125 0.5× 106 0.6× 69 0.5× 135 1.2× 23 906
Ning‐Ai Liu 588 1.5× 266 1.0× 147 0.9× 417 2.9× 34 0.3× 29 1.2k
Eleanor F. Need 498 1.2× 122 0.5× 375 2.2× 39 0.3× 46 0.4× 20 1.2k
Paul Hodor 521 1.3× 159 0.6× 191 1.1× 83 0.6× 78 0.7× 26 892
Paul A. Kelly 469 1.2× 583 2.2× 336 2.0× 45 0.3× 45 0.4× 13 1.1k
Shoichi Fukayama 546 1.4× 142 0.5× 192 1.1× 27 0.2× 33 0.3× 30 864
Deborah A. DeManno 337 0.8× 133 0.5× 288 1.7× 40 0.3× 17 0.1× 24 1.2k
Louis M. Scavo 499 1.2× 367 1.4× 177 1.0× 60 0.4× 19 0.2× 27 1.2k
É. Dupont 232 0.6× 314 1.2× 203 1.2× 130 0.9× 12 0.1× 23 837

Countries citing papers authored by Annette C. Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Annette C. Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Annette C. Schmid. 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 Annette C. Schmid. The network helps show where Annette C. Schmid may publish in the future.

Co-authorship network of co-authors of Annette C. Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Annette C. Schmid. A scholar is included among the top collaborators of Annette C. Schmid 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 Annette C. Schmid. Annette C. Schmid 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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