Jens Hanke

834 total citations
17 papers, 650 citations indexed

About

Jens Hanke is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Jens Hanke has authored 17 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Jens Hanke's work include RNA and protein synthesis mechanisms (4 papers), Trypanosoma species research and implications (4 papers) and Machine Learning in Bioinformatics (3 papers). Jens Hanke is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Trypanosoma species research and implications (4 papers) and Machine Learning in Bioinformatics (3 papers). Jens Hanke collaborates with scholars based in Germany, Sweden and United States. Jens Hanke's co-authors include J. Reich, Peer Bork, Sebastian Delbrück, David Brett, Sabine Haase, Georg Beckmann, Atakan Aydın, Lena Åslund, Friedrich C. Luft and Sara A. Solla and has published in prestigious journals such as Journal of Molecular Biology, Biochemical Journal and FEBS Letters.

In The Last Decade

Jens Hanke

15 papers receiving 622 citations

Peers

Jens Hanke
Comparison fields: 5 of 79
  • Molecular Biology 529
  • Genetics 105
  • Epidemiology 63
  • Plant Science 53
  • Cancer Research 39
Replace Sohini Sanyal with:
Sohini Sanyal United States
Ingo Schupp Germany
Sabine Suppmann Germany
W. Mathias Howell Sweden
Mikhail Bilenky Canada
Masatake Yamauchi Japan
Amanda J. Guise United States
Cory D. Dunn United States
Olivier Marinx France
Key-Sun Kim South Korea
Sohini Sanyal United States View profile →
Citations per field, relative to Jens Hanke
Jens Hanke · 1×
Citations per year, relative to Jens Hanke
Jens Hanke · 1×

Countries citing papers authored by Jens Hanke

Since Specialization
Citations

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

Fields of papers citing papers by Jens Hanke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Hanke

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 2
2 19
3 231
4 11
5 2
6 99
7 39
8 11
9 74
10 11
11 54
12 36
13 18
14 27
15 15
16
[Activity of red blood cell glucose-6-phosphate dehydrogenase in psoriatics].
0
17
[CLINICAL AND ENZYMATIC CHANGES IN ACUTE ISONICOTINIC ACID HYDRAZIDE POISONING].
1

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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