M.A. Bach

1.4k citations
22 papers · 1.1k · h-index 14

Impact in

    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Nuclear Structure and Function
    • RNA modifications and cancer
  • Rheumatology top 10%
    • Systemic Lupus Erythematosus Research

Papers in

    • RNA Research and Splicing 18
    • RNA and protein synthesis mechanisms 1
    • Peroxisome Proliferator-Activated Receptors 1
    • Systemic Lupus Erythematosus Research 4

M.A. Bach

22 papers receiving 1.1k citations

Peers

M.A. Bach
Comparison fields: 5 of 45
  • Molecular Biology 978
  • Rheumatology 80
  • Genetics 15
  • Clinical Biochemistry 6
  • Pathology and Forensic Medicine 15
Replace Maurice Couppez with:
Maurice Couppez France
Amber R. Cutter United States
Takeumi Kaneko Japan
Dominique Klein Switzerland
Sung Ho Boo South Korea
Biswajoy Roy‐Chaudhuri United States
Lee Venolia United States
Jan‐Peter Kreivi Sweden
Cindy Yen Okitsu United States
V. Narry Kim South Korea
M.A. Bach relative to Maurice Couppez France Maurice Couppez's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.A. Bach

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Bach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Bach. 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 M.A. Bach. The network helps show where M.A. Bach may publish in the future.

Co-authors

The 19 scholars most cited alongside M.A. Bach, 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 M.A. Bach Line = papers co-authored together M.A. Bach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990336
2 1998117
3 1990106
4 1989104
5 198984
6 199063
7 199058
8 199054
9 199051
10 199241
11 198928
12 198923
13 198417
14 199117
15 19918
16 19866
17 19904
18 19873
19 19891
20 19901

About M.A. Bach

M.A. Bach is a scholar working on Molecular Biology, Rheumatology, Clinical Biochemistry, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (18 papers), Systemic Lupus Erythematosus Research (4 papers), RNA and protein synthesis mechanisms (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Molecular Biology (978 citations), Rheumatology (80 citations), Genetics (15 citations), Clinical Biochemistry (6 citations) and Pathology and Forensic Medicine (15 citations). M.A. Bach has collaborated with scholars based in Germany, Spain and France. Frequent co-authors include Reinhard Lührmann, Berthold Kastner, Volker Heinrichs, Alain Krol, Jean D. Beggs, Peter Bringmann, Fausto G. Hegardt, Dolors Serra, Carles Codony and Guillermina Asins. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, The Journal of Cell Biology, Molecular Biology Reports and European Journal of Biochemistry.

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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