Jan Backmann

1.1k citations
30 papers · 964 · h-index 16

Impact in

Papers in

    • Protein Structure and Dynamics 16
    • RNA and protein synthesis mechanisms 6
    • DNA and Nucleic Acid Chemistry 4
    • Advanced biosensing and bioanalysis techniques 2
    • Enzyme Structure and Function 11

Jan Backmann

30 papers receiving 949 citations

Peers

Jan Backmann
Comparison fields: 5 of 96
  • Molecular Biology 725
  • Materials Chemistry 350
  • Molecular Medicine 34
  • Biophysics 33
  • Cell Biology 84
Replace Е. В. Бражников with:
Е. В. Бражников Russia
Ronald W. Sarver United States
E. Bitto United States
F. Grant Pearce New Zealand
Jan N. Breg Netherlands
Dianfan Li China
Richard L. Thurlkill United States
Francisco Conejero‐Lara Spain
Paula I. Lario Canada
Jiang Hong United States
Jan Backmann relative to Е. В. Бражников Russia Е. В. Бражников's profile →
Citations per field
00.5×1.5×2.4×
Е. В. Бражников · 1×
Citations per year

Countries citing papers authored by Jan Backmann

Since Specialization
Citations

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

Fields of papers citing papers by Jan Backmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Backmann, 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 Jan Backmann Line = papers co-authored together Jan Backmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999119
2 199997
3 200193
4 199483
5 199680
6 199878
7 200259
8 200048
9 200042
10 200030
11 199627
12 200027
13 199626
14 200023
15 199522
16 202120
17 200113
18 199312
19 200111
20 199611

About Jan Backmann

Jan Backmann is a scholar working on Molecular Biology, Materials Chemistry, Physiology, Genetics and Surgery, having authored 30 papers that have together received 964 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Enzyme Structure and Function (11 papers), RNA and protein synthesis mechanisms (6 papers), Erythrocyte Function and Pathophysiology (5 papers), Bacterial Genetics and Biotechnology (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Molecular Biology (725 citations), Materials Chemistry (350 citations), Molecular Medicine (34 citations), Biophysics (33 citations) and Cell Biology (84 citations). Jan Backmann has collaborated with scholars based in Germany, Belgium and Switzerland. Frequent co-authors include Dieter Naumann, Heinz Fabian, Lode Wyns, Günter Schäfer, Dominique Maes, Heiko Bönisch, Johan Zeelen, R.K. Wierenga, Ulrich Hahn and Wolfram Saenger. Their work appears in journals such as Biochemistry, European Journal of Biochemistry, Proteins Structure Function and Bioinformatics, Journal of Biological Chemistry and Protein Engineering Design and Selection.

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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