Ingo Ruczinski

22.1k total citations · 3 hit papers
146 papers, 6.5k citations indexed

About

Ingo Ruczinski is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Ingo Ruczinski has authored 146 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 64 papers in Genetics and 14 papers in Materials Chemistry. Recurrent topics in Ingo Ruczinski's work include Genetic Associations and Epidemiology (33 papers), Genomic variations and chromosomal abnormalities (25 papers) and Gene expression and cancer classification (24 papers). Ingo Ruczinski is often cited by papers focused on Genetic Associations and Epidemiology (33 papers), Genomic variations and chromosomal abnormalities (25 papers) and Gene expression and cancer classification (24 papers). Ingo Ruczinski collaborates with scholars based in United States, Germany and Canada. Ingo Ruczinski's co-authors include David Baker, Charles Kooperberg, Kim T. Simons, Kevin W. Plaxco, Michael LeBlanc, Richard Bonneau, Rasika A. Mathias, Terri H. Beaty, Robert N. Cole and Kathleen C. Barnes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Ingo Ruczinski

145 papers receiving 6.4k citations

Hit Papers

Random-coil behavior and the dimensions of chemically unf... 1999 2026 2008 2017 2004 1999 1999 100 200 300 400 500

Peers

Ingo Ruczinski
Comparison fields: 5 of 183
  • Molecular Biology 3.9k
  • Genetics 1.8k
  • Materials Chemistry 1.3k
  • Spectroscopy 384
  • Epidemiology 368
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Citations per field, relative to Ingo Ruczinski
Ingo Ruczinski · 1×
Citations per year, relative to Ingo Ruczinski
Ingo Ruczinski · 1×

Countries citing papers authored by Ingo Ruczinski

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Ruczinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingo Ruczinski

This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Ruczinski. A scholar is included among the top collaborators of Ingo Ruczinski 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 Ingo Ruczinski. Ingo Ruczinski 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
# Work Indexed citations
1 5
2 6
3 7
4 13
5 30
6 2
7 13
8 1
9 1
10 9
11 53
12 112
13 8
14 10
15 14
16 9
17 79
18
USING THE R PACKAGE crlmm FOR GENOTYPING AND COPY NUMBER ESTIMATION
3
19 44
20 63

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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