Kathrin Schramm

68 total papers · 951 total citations
14 papers, 307 citations indexed

About

Kathrin Schramm is a scholar working on Molecular Biology, Clinical Psychology and Cancer Research. According to data from OpenAlex, Kathrin Schramm has authored 14 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Clinical Psychology and 3 papers in Cancer Research. Recurrent topics in Kathrin Schramm's work include Psychiatric care and mental health services (3 papers), Cancer Genomics and Diagnostics (2 papers) and CRISPR and Genetic Engineering (2 papers). Kathrin Schramm is often cited by papers focused on Psychiatric care and mental health services (3 papers), Cancer Genomics and Diagnostics (2 papers) and CRISPR and Genetic Engineering (2 papers). Kathrin Schramm collaborates with scholars based in Germany, United States and Austria. Kathrin Schramm's co-authors include Stefan M. Pfister, Peter Lichter, David Jones, Marc Zapatka, Jan Gronych, Martine F. Roussel, Marc Zuckermann, Jelena Belic, Guido Reifenberger and David A. Largaespada and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Kathrin Schramm

11 papers receiving 301 citations

Author Peers

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

Author						Papers	Cites
Kathrin Schramm	221	56	51	43	43	14	307
Nina Xie	260 1.2×	90 1.6×	20 0.4×	31 0.7×	7 0.2×	13	333
Aslam Abbasi Akhtar	298 1.3×	76 1.4×	19 0.4×	18 0.4×	20 0.5×	12	362
Xin-Yao Sun	243 1.1×	43 0.8×	10 0.2×	25 0.6×	30 0.7×	13	360
Jacopo Zasso	232 1.0×	27 0.5×	12 0.2×	21 0.5×	16 0.4×	14	329
Ejona Rusha	255 1.2×	56 1.0×	28 0.5×	47 1.1×	7 0.2×	9	308
Nathan Ng	108 0.5×	21 0.4×	33 0.6×	42 1.0×	36 0.8×	17	319
Hugo Sepúlveda	247 1.1×	50 0.9×	31 0.6×	60 1.4×	28 0.7×	21	359
Marcus McLeod	187 0.8×	29 0.5×	38 0.7×	5 0.1×	34 0.8×	13	316
Yexing Xian	184 0.8×	40 0.7×	31 0.6×	7 0.2×	6 0.1×	14	289
Val Davison	197 0.9×	118 2.1×	98 1.9×	53 1.2×	21 0.5×	10	366

Countries citing papers authored by Kathrin Schramm

Since Specialization

Citations

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

Fields of papers citing papers by Kathrin Schramm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathrin Schramm

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