Tobias Hamp

3.0k citations
10 papers · 776 indexed · 1 hit paper · h-index 8
Topics
Bioinformatics and Genomic Networks (7 papers)Machine Learning in Bioinformatics (6 papers)Protein Structure and Dynamics (6 papers)

In The Last Decade

Tobias Hamp

10 papers receiving 770 citations

Hit Papers

PredictProtein—an open resource for online prediction of ...20142026201820222014100200300400

Peers

Tobias Hamp
Comparison fields: 5 of 102
  • Molecular Biology 585
  • Plant Science 93
  • Genetics 83
  • Computational Theory and Mathematics 77
  • Epidemiology 46
Replace László Kaján with:
László Kaján Hungary
Guy Nimrod Israel
Peter Hönigschmid Germany
Jinrui Xu United States
Nikolaos Papandreou Greece
Chien‐Hung Yu Taiwan
Leah S. Torrie United Kingdom
Gabriel Östlund Sweden
Maximilian Hecht Germany
Leandro Radusky Spain
Tobias Hamp relative to László Kaján Hungary László Kaján's profile →
Citations per field
00.5×1.5×2.0×
László Kaján · 1×
Citations per year

Countries citing papers authored by Tobias Hamp

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Hamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Hamp

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 7
2 49
3 84
4
PredictProtein—an open resource for online prediction of protein structural and functional featuresbreakdown →
455
5 51
6 10
7 3
8 26
9 89
10 2

About Tobias Hamp

Tobias Hamp is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy, having authored 10 papers that have together received 776 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (6 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Molecular Biology (585 citations), Computational Theory and Mathematics (77 citations) and Endocrinology (18 citations). Tobias Hamp has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Burkhard Rost, Tatyana Goldberg, Peter Hönigschmid, Maximilian Hecht, Yana Bromberg, Edda Kloppmann, Gerrit Vriend, Marco Punta, Andrea Schafferhans and Avner Schlessinger. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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