John Hachmann

798 citations
23 papers · 666 · h-index 13

Impact in

    • RNA and protein synthesis mechanisms
    • Chemical Synthesis and Analysis
    • DNA and Nucleic Acid Chemistry
    • RNA modifications and cancer
    • Advanced biosensing and bioanalysis techniques

Papers in

    • Chemical Synthesis and Analysis 8
    • RNA and protein synthesis mechanisms 7
    • DNA and Nucleic Acid Chemistry 6
    • Advanced biosensing and bioanalysis techniques 5
    • Machine Learning in Bioinformatics 3
    • Click Chemistry and Applications 3

John Hachmann

22 papers receiving 603 citations

Peers

John Hachmann
Comparison fields: 5 of 81
  • Molecular Biology 514
  • Microbiology 26
  • Organic Chemistry 108
  • Radiology, Nuclear Medicine and Imaging 79
  • Spectroscopy 54
Replace Charles A. Dekker with:
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John Hachmann relative to Charles A. Dekker United States Charles A. Dekker's profile →
Citations per field
00.5×3.0×
Charles A. Dekker · 1×
Citations per year

Countries citing papers authored by John Hachmann

Since Specialization
Citations

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

Fields of papers citing papers by John Hachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966120
2 1970105
3 197173
4 200560
5 197153
6 199552
7 199435
8 200628
9 200725
10 200522
11 197019
12 200713
13 196913
14 200510
15 20089
16 20077
17 20066
18 19666
19 20074
20 20062

About John Hachmann

John Hachmann is a scholar working on Molecular Biology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Oncology, having authored 23 papers that have together received 666 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (8 papers), RNA and protein synthesis mechanisms (7 papers), DNA and Nucleic Acid Chemistry (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Machine Learning in Bioinformatics (3 papers), Click Chemistry and Applications (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Molecular Biology (514 citations), Microbiology (26 citations), Organic Chemistry (108 citations), Radiology, Nuclear Medicine and Imaging (79 citations) and Spectroscopy (54 citations). John Hachmann has collaborated with scholars based in United States and Czechia. Frequent co-authors include Herbert Weissbach, David L. Miller, Robert Shapiro, Michal Lebl, G. Michael Iverson, P A Barstad, D. Stephen Charnock‐Jones, David Barker, H. G. Khorana and Kenneth W. Hill. Their work appears in journals such as Archives of Biochemistry and Biophysics, Combinatorial Chemistry & High Throughput Screening, Nucleosides Nucleotides & Nucleic Acids, Journal of the American Chemical Society and Sensors and Actuators B Chemical.

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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