Jan Gorodkin

12.4k total citations · 1 hit paper
137 papers, 6.4k citations indexed

About

Jan Gorodkin is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Jan Gorodkin has authored 137 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Molecular Biology, 40 papers in Cancer Research and 12 papers in Genetics. Recurrent topics in Jan Gorodkin's work include RNA and protein synthesis mechanisms (69 papers), RNA modifications and cancer (64 papers) and RNA Research and Splicing (37 papers). Jan Gorodkin is often cited by papers focused on RNA and protein synthesis mechanisms (69 papers), RNA modifications and cancer (64 papers) and RNA Research and Splicing (37 papers). Jan Gorodkin collaborates with scholars based in Denmark, United States and Germany. Jan Gorodkin's co-authors include Lars Juhl Jensen, Nadezhda T. Doncheva, John H. Morris, Jakob H. Havgaard, Stefan E. Seemann, Elfar Torarinsson, Radhakrishnan Sabarinathan, Peter F. Stadler, Laurie J. Heyer and Ivo L. Hofacker and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Jan Gorodkin

135 papers receiving 6.4k citations

Hit Papers

Cytoscape StringApp: Network Analysis and Visualization o... 2018 2026 2020 2023 2018 400 800 1.2k

Peers

Jan Gorodkin
Comparison fields: 5 of 176
  • Molecular Biology 4.9k
  • Cancer Research 1.7k
  • Genetics 532
  • Immunology 341
  • Plant Science 316
Replace Ye Ding with:
Ye Ding China
Youping Deng United States
Carsten O. Daub Japan
Christina Kendziorski United States
Zhaolei Zhang Canada
Magnus Åstrand Sweden
Laura L. Elo Finland
Keiichiro Ono United States
Lei Chen China
Lachlan Coin Australia
Ye Ding China View profile →
Citations per field, relative to Jan Gorodkin
Jan Gorodkin · 1×
Citations per year, relative to Jan Gorodkin
Jan Gorodkin · 1×

Countries citing papers authored by Jan Gorodkin

Since Specialization
Citations

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

Fields of papers citing papers by Jan Gorodkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Gorodkin

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Gorodkin. A scholar is included among the top collaborators of Jan Gorodkin 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 Jan Gorodkin. Jan Gorodkin 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 1
2 1
3 0
4 9
5 0
6 6
7 13
8 23
9
Cytoscape StringApp: Network Analysis and Visualization of Proteomics Data breakdown →
1374
10 4
11 109
12 2
13 49
14 68
15 27
16
Maximum Likelihood Estimation of Weight Matrices for Targeted Homology Search.
2
17 75
18 73
19 5
20
Neural Networks and Cellular Automata Complexity.
6

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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