Daniel J. Jansen

818 citations
15 papers · 670 · h-index 12

Impact in

    • Click Chemistry and Applications
    • Synthetic Organic Chemistry Methods
    • Catalytic C–H Functionalization Methods
    • Asymmetric Synthesis and Catalysis
    • Epigenetics and DNA Methylation
    • Histone Deacetylase Inhibitors Research
    • Cancer-related gene regulation

Papers in

Daniel J. Jansen

15 papers receiving 647 citations

Peers

Daniel J. Jansen
Comparison fields: 5 of 83
  • Organic Chemistry 192
  • Molecular Biology 361
  • Immunology 82
  • Cancer Research 46
  • Biotechnology 28
Replace Adam J. Stein with:
Adam J. Stein United States
Hiroko Togame Japan
Chul H. Yu United States
Jeong Hyeon Yoon South Korea
Nikolaj L. Villadsen Denmark
Jay Chauhan United States
Sridhar Goud Nerella India
Ta-Chun Cheng Taiwan
Matthew D. Selby United Kingdom
Nam Song Choi South Korea
Daniel J. Jansen relative to Adam J. Stein United States Adam J. Stein's profile →
Citations per field
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Adam J. Stein · 1×
Citations per year

Countries citing papers authored by Daniel J. Jansen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Jansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018134
2 201687
3 201472
4 201262
5 200960
6 201353
7 201841
8 198939
9 200830
10 201828
11 202119
12 201618
13 202212
14 20188
15 20217

About Daniel J. Jansen

Daniel J. Jansen is a scholar working on Biotechnology, Organic Chemistry, Molecular Biology, Computational Theory and Mathematics and Immunology, having authored 15 papers that have together received 670 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (4 papers), Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Computational Drug Discovery Methods (2 papers), Marine Sponges and Natural Products (2 papers), Synthetic Organic Chemistry Methods (1 paper), CAR-T cell therapy research (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Organic Chemistry (192 citations), Molecular Biology (361 citations), Immunology (82 citations), Cancer Research (46 citations) and Biotechnology (28 citations). Daniel J. Jansen has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Ryan A. Shenvi, Apurba Datta, Sergey V. Pronin, C. J. L. M. Meijer, Hendrik Mullink, Jan M.M. Walboomers, Thea M. Tadema, Robert Preißner, Christian‐Hendrik Heeger and P.F. Thaben. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry, Scientific Reports, Journal of Histochemistry & Cytochemistry and Cell chemical biology.

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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