Jürgen Alves

1.8k citations
32 papers · 1.5k indexed · h-index 20
Topics
Advanced biosensing and bioanalysis techniques (13 papers)Bacterial Genetics and Biotechnology (10 papers)DNA and Nucleic Acid Chemistry (8 papers)
Partner nations
GermanyHungaryIndia

In The Last Decade

Jürgen Alves

32 papers receiving 1.4k citations

Peers

Jürgen Alves
Comparison fields: 5 of 87
  • Molecular Biology 1.2k
  • Genetics 255
  • Cell Biology 226
  • Neurology 183
  • Oncology 153
Replace Ramasubramanian Sundaramoorthy with:
Ramasubramanian Sundaramoorthy United Kingdom
Anna Zachariou United Kingdom
Stephen Gschmeissner United Kingdom
Nobuyuki Kurosawa Japan
Allison Lange United States
Olivier J. Bécherel Australia
Jeffry L. Corden United States
Deirdre C. Lawe United States
Gregor Cicchetti United States
Tycho E.T. Mevissen United Kingdom
Jürgen Alves relative to Ramasubramanian Sundaramoorthy United Kingdom Ramasubramanian Sundaramoorthy's profile →
Citations per field
00.5×2.8×
Ramasubramanian Sundaramoorthy · 1×
Citations per year

Countries citing papers authored by Jürgen Alves

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Alves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Alves

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Alves. A scholar is included among the top collaborators of Jürgen Alves 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 Jürgen Alves. Jürgen Alves 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
#WorkIndexed citations
1 31
2 5
3 22
4 4
5 59
6 16
7 165
8 52
9 28
10 59
11 34
12 27
13 108
14 120
15 12
16 27
17 36
18 55
19 11
20 14

About Jürgen Alves

Jürgen Alves is a scholar working on Genetics, Molecular Biology and Molecular Medicine, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (13 papers), Bacterial Genetics and Biotechnology (10 papers) and DNA and Nucleic Acid Chemistry (8 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cell Biology (226 citations) and Neurology (183 citations). Jürgen Alves has collaborated with scholars based in Germany, Hungary and India. Frequent co-authors include Inken Wierstra, Alfred Pingoud, Günter Maaß, Andreas Rummel, Steffen Bade, Thomas Binz, Albert Jeltsch, Ernst Ungewickell, Christoph Kalthoff and Claus Urbanke. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Molecular Biology.

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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