Gregor Blaha

3.7k citations
48 papers · 2.7k indexed · 1 hit paper · h-index 26

Gregor Blaha

47 papers receiving 2.6k citations

Hit Papers

Structures of MLSBK Antibiotics Bound to Mutated Large Ri...3432005202620122019100200300

Peers

Gregor Blaha
Comparison fields: 5 of 102
  • Molecular Medicine 204
  • Molecular Biology 2.2k
  • Genetics 747
  • Structural Biology 26
  • Infectious Diseases 275
Replace M.S. Junop with:
M.S. Junop Canada
Robert J. Morgan-Warren United Kingdom
Agata L. Starosta Germany
Frank Schlünzen Germany
J. Harms Germany
Yury S. Polikanov United States
Anne Grove United States
Eilika Weber‐Ban Switzerland
Alexey A. Bogdanov Russia
M. Selmer Sweden
Gregor Blaha relative to M.S. Junop Canada M.S. Junop's profile →
Citations per field
00.5×1.7×
M.S. Junop · 1×
Citations per year

Countries citing papers authored by Gregor Blaha

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Blaha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Gregor Blaha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gregor Blaha Line = papers co-authored together Gregor Blaha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20242
4 20232
5 202146
6 202126
7 202097
8 20196
9 201967
10 201751
11 2012168
12 201217
13 2009172
14 2009148
15 200739
16
Structures of MLSBK Antibiotics Bound to Mutated Large Ribosomal Subunits Provide a Structural Explanation for Resistancebreakdown →
2005343
17 200218
18 200225
19 200249
20 200153

About Gregor Blaha

Gregor Blaha is a scholar working on Structural Biology, Molecular Biology and Genetics, having authored 48 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (33 papers), RNA modifications and cancer (22 papers), Bacterial Genetics and Biotechnology (13 papers), RNA Research and Splicing (11 papers), Bacteriophages and microbial interactions (5 papers), DNA Repair Mechanisms (5 papers), DNA and Nucleic Acid Chemistry (5 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Molecular Medicine (204 citations), Molecular Biology (2.2k citations) and Genetics (747 citations). Gregor Blaha has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Thomas A. Steitz, Peter B. Moore, Knud H. Nierhaus, Daqi Tu, Robin E. Stanley, Yury S. Polikanov, G. Gurel, Daniel N. Wilson, C.A. Innis and David Bulkley. Their work appears in journals such as Journal of Molecular Biology, Nucleic Acids Research, Biochemistry, Science and Journal of Biological Chemistry.

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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