Maria Pichler

61 total papers · 707 total citations
28 papers, 421 citations indexed

About

Maria Pichler is a scholar working on Genetics, Dermatology and Oncology. According to data from OpenAlex, Maria Pichler has authored 28 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Dermatology and 7 papers in Oncology. Recurrent topics in Maria Pichler's work include Genetic diversity and population structure (7 papers), Cancer and Skin Lesions (4 papers) and Chromosomal and Genetic Variations (4 papers). Maria Pichler is often cited by papers focused on Genetic diversity and population structure (7 papers), Cancer and Skin Lesions (4 papers) and Chromosomal and Genetic Variations (4 papers). Maria Pichler collaborates with scholars based in Austria, Italy and Germany. Maria Pichler's co-authors include Tatjana Stojaković, Karl Pummer, Georg C. Hutterer, Richard Zigeuner, Sebastian Mannweiler, Klaus Eisendle, Claus‐Peter Stelzer, Orietta Dalpiaz, Wilhelm Foissner and Peter Stadler and has published in prestigious journals such as PLoS ONE, Evolution and British Journal of Cancer.

In The Last Decade

Maria Pichler

27 papers receiving 413 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Pichler 164 101 77 73 62 28 421
Gina Lee 193 1.2× 79 0.8× 45 0.6× 53 0.7× 23 0.4× 15 391
Johannessen Jv 173 1.1× 45 0.4× 65 0.8× 51 0.7× 35 0.6× 19 437
Denise Landry 75 0.5× 62 0.6× 44 0.6× 66 0.9× 75 1.2× 18 431
C. P. Cherry 127 0.8× 183 1.8× 36 0.5× 37 0.5× 24 0.4× 25 440
Steve Rabson 45 0.3× 50 0.5× 48 0.6× 56 0.8× 49 0.8× 44 426
Gayatri Sreenivasan 100 0.6× 35 0.3× 34 0.4× 23 0.3× 33 0.5× 21 448
Lloyd Rv 166 1.0× 97 1.0× 125 1.6× 52 0.7× 70 1.1× 19 468
Pauline Close 127 0.8× 61 0.6× 34 0.4× 57 0.8× 31 0.5× 24 425
T Wong 74 0.5× 59 0.6× 49 0.6× 33 0.5× 51 0.8× 39 480
Gilbert Ef 100 0.6× 91 0.9× 82 1.1× 95 1.3× 87 1.4× 36 456

Countries citing papers authored by Maria Pichler

Since Specialization
Citations

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

Fields of papers citing papers by Maria Pichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Pichler

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