Martin Pichler

16.6k citations
310 papers · 11.4k indexed · 1 hit paper · h-index 58
Topics
Cancer-related molecular mechanisms research (58 papers)Inflammatory Biomarkers in Disease Prognosis (49 papers)MicroRNA in disease regulation (44 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Martin Pichler

302 papers receiving 11.3k citations

Hit Papers

Increased neutrophil-lymphocyte ratio is a poor prognosti...20132026201720212013100200300400

Peers

Martin Pichler
Comparison fields: 5 of 141
  • Oncology 5.0k
  • Cancer Research 5.0k
  • Molecular Biology 4.7k
  • Pulmonary and Respiratory Medicine 2.6k
  • Surgery 1.9k
Replace Masato Kusunoki with:
Masato Kusunoki Japan
Stefan Holdenrieder Germany
Hirokazu Nagawa Japan
Yuji Toiyama Japan
Kosei Hirakawa Japan
Koji Tanaka Japan
Massimo Aglietta Italy
David M. Jablons United States
Masayuki Imamura Japan
Yoshifumi Baba Japan
Martin Pichler relative to Masato Kusunoki Japan Masato Kusunoki's profile →
Citations per field
00.5×1.5×1.9×
Masato Kusunoki · 1×
Citations per year

Countries citing papers authored by Martin Pichler

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Pichler

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Pichler. A scholar is included among the top collaborators of Martin 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 Martin Pichler. Martin Pichler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 5
4 14
5 5
6 22
7 8
8 10
9 28
10 18
11 22
12 22
13 118
14 39
15 61
16 110
17 11
18 68
19 83
20 403

About Martin Pichler

Martin Pichler is a scholar working on Cancer Research, Oncology and Internal Medicine, having authored 310 papers that have together received 11.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (58 papers), Inflammatory Biomarkers in Disease Prognosis (49 papers) and MicroRNA in disease regulation (44 papers). The work is most often cited by research in Cancer Research (5.0k citations), Oncology (5.0k citations) and Pulmonary and Respiratory Medicine (2.6k citations). Martin Pichler has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Armin Gerger, Tatjana Stojaković, George A. Călin, Michael Stotz, Joanna Szkandera, Gerald Höefler, Hellmut Samonigg, Karl Pummer, Georg C. Hutterer and Hui Ling. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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