J. Häcker

3.2k total citations
60 papers, 2.5k citations indexed

About

J. Häcker is a scholar working on Molecular Biology, Endocrinology and Genetics. According to data from OpenAlex, J. Häcker has authored 60 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 32 papers in Endocrinology and 13 papers in Genetics. Recurrent topics in J. Häcker's work include Escherichia coli research studies (18 papers), Legionella and Acanthamoeba research (13 papers) and Bacteriophages and microbial interactions (11 papers). J. Häcker is often cited by papers focused on Escherichia coli research studies (18 papers), Legionella and Acanthamoeba research (13 papers) and Bacteriophages and microbial interactions (11 papers). J. Häcker collaborates with scholars based in Germany, Finland and United States. J. Häcker's co-authors include Günter Fischer, Michael Steinert, Rudolf Amann, Levente Emödy, R. Marre, Karlheinz Mann, Birgit Ludwig, Manfred Ott, T K Korhonen and Klaus Jann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Applied and Environmental Microbiology.

In The Last Decade

J. Häcker

59 papers receiving 2.5k citations

Peers

J. Häcker
Comparison fields: 5 of 105
  • Endocrinology 1.3k
  • Molecular Biology 1.3k
  • Immunology 428
  • Genetics 399
  • Infectious Diseases 325
Replace Nicklas Strömberg with:
Nicklas Strömberg Sweden
A Labigne France
Richard P. Silver United States
Rachel C. Fernandez Canada
Sophie de Bentzmann France
Catherine Grillot‐Courvalin France
Fuminobu Yoshimura Japan
Josette Arondel France
Barica Kušećek Germany
Levente Emödy Hungary
Nicklas Strömberg Sweden View profile →
Citations per field, relative to J. Häcker
J. Häcker · 1×
Citations per year, relative to J. Häcker
J. Häcker · 1×

Countries citing papers authored by J. Häcker

Since Specialization
Citations

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

Fields of papers citing papers by J. Häcker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Häcker

This figure shows the co-authorship network connecting the top 25 collaborators of J. Häcker. A scholar is included among the top collaborators of J. Häcker 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 J. Häcker. J. Häcker 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
Asymptomatic Bacteriuria: An adaptive challenge for Escherichia coli within the urinary tract
1
2 22
3 1
4 1
5 12
6 44
7 16
8 40
9 22
10 5
11 50
12 33
13 3
14 4
15 165
16 81
17 148
18 4
19 52
20 66

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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