Perikles Simon

208 papers receiving 6.8k citations

Perikles Simon's Hit Papers

Q-Gene: processing quantitative real-time RT–PCR data 2003 · 719 citations
7190+7+15Years since publication200400600

Peers

Perikles Simon
Comparison fields: 5 of 180
  • Cancer Research 1.1k
  • Rehabilitation 436
  • Orthopedics and Sports Medicine 520
  • Immunology 869
  • Applied Psychology 184
Replace Wilhelm Bloch with:
Wilhelm Bloch Germany
P. Eline Slagboom Netherlands
Robert Vlietinck Belgium
Robert E. Ferrell United States
Wieland Kieß Germany
D. C. Rao United States
Molly S. Bray United States
Scott D. Gordon Australia
Jesper Frank Christensen Denmark
Alex J. MacGregor United Kingdom
Perikles Simon relative to Wilhelm Bloch Germany Wilhelm Bloch's profile →
Citations per field
00.5×1.5×
Wilhelm Bloch · 1×
Citations per year

Countries citing papers authored by Perikles Simon

Since Specialization
Citations

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

Fields of papers citing papers by Perikles Simon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Perikles Simon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Perikles Simon Line = papers co-authored together Perikles Simon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 220 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Q-Gene: processing quantitative real-time RT–PCR data
Hit paper breakdown →
2003719
2 1988356
3 2015267
4 2016241
5 2019192
6 2012172
7 2011150
8 2017125
9 2013121
10 2013118
11 2010118
12 2007105
13 2014104
14 2011103
15 200897
16 200996
17 200593
18 200678
19 200578
20 201478

About Perikles Simon

Perikles Simon is a scholar working on Molecular Biology, Physiology, Cancer Research, Cardiology and Cardiovascular Medicine and Genetics, having authored 220 papers that have together received 7.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (18 papers), Doping in Sports (17 papers), Sports Performance and Training (16 papers), Exercise and Physiological Responses (16 papers), Hormonal and reproductive studies (16 papers), Cardiovascular Effects of Exercise (13 papers), Immune Cell Function and Interaction (12 papers) and Obesity, Physical Activity, Diet (11 papers). The work is most often cited by research in Cancer Research (1.1k citations), Rehabilitation (436 citations), Orthopedics and Sports Medicine (520 citations), Immunology (869 citations) and Applied Psychology (184 citations). Perikles Simon has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Suzan Tug, Rolf Ulrich, Heiko Striegel, Sarah Breitbach, Susanne Helmig, Eva‐Maria Krämer‐Albers, Daniel Pfirrmann, Elmo W. I. Neuberger, Andreas M. Nieß and Pavel Dietz. Their work appears in journals such as PLoS ONE, Frontiers in Public Health, Sports Medicine, Scientific Reports and Medicine & Science in Sports & Exercise.

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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