Barbara D. Schmid-Horch

24 total papers · 658 total citations
8 papers, 349 citations indexed

About

Barbara D. Schmid-Horch is a scholar working on Immunology, Hematology and Oncology. According to data from OpenAlex, Barbara D. Schmid-Horch has authored 8 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Hematology and 2 papers in Oncology. Recurrent topics in Barbara D. Schmid-Horch's work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (3 papers). Barbara D. Schmid-Horch is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (3 papers). Barbara D. Schmid-Horch collaborates with scholars based in Germany, Switzerland and Russia. Barbara D. Schmid-Horch's co-authors include Dorothee Wernet, Christof Weinstock, M. Schnaidt, Hans‐Georg Rammensee, Stefan Stevanović, Janet K. Peper-Gabriel, Markus Löffler, Heiko Schuster, Cécile Gouttefangeas and Alfred Königsrainer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Frontiers in Immunology and Transplantation.

In The Last Decade

Barbara D. Schmid-Horch

8 papers receiving 341 citations

Author Peers

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

Author Last Decade Papers Cites
Barbara D. Schmid-Horch 181 151 103 85 69 8 349
H P E Borst 194 1.1× 108 0.7× 126 1.2× 33 0.4× 98 1.4× 8 346
Eugenia K. Page 154 0.9× 136 0.9× 117 1.1× 40 0.5× 25 0.4× 12 307
Marianne Lantz 166 0.9× 92 0.6× 83 0.8× 68 0.8× 78 1.1× 12 332
Pierre Vereerstraeten 137 0.8× 75 0.5× 83 0.8× 66 0.8× 25 0.4× 10 393
Carsten Brockmeyer 224 1.2× 144 1.0× 137 1.3× 25 0.3× 24 0.3× 13 353
Dora Ninova 198 1.1× 97 0.6× 188 1.8× 17 0.2× 33 0.5× 12 344
Remi Shih 235 1.3× 141 0.9× 140 1.4× 26 0.3× 31 0.4× 9 386
Valeriya Zarkhin 261 1.4× 218 1.4× 111 1.1× 39 0.5× 18 0.3× 9 387
Karoline Edtinger 121 0.7× 193 1.3× 120 1.2× 29 0.3× 29 0.4× 13 373
Gemma D. Banham 110 0.6× 184 1.2× 53 0.5× 25 0.3× 60 0.9× 9 316

Countries citing papers authored by Barbara D. Schmid-Horch

Since Specialization
Citations

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

Fields of papers citing papers by Barbara D. Schmid-Horch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara D. Schmid-Horch. 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 Barbara D. Schmid-Horch. The network helps show where Barbara D. Schmid-Horch may publish in the future.

Co-authorship network of co-authors of Barbara D. Schmid-Horch

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