Janik Riese

465 citations
17 papers · 341 · h-index 10

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Berberine and alkaloids research
    • Pharmacological Effects of Natural Compounds

Papers in

Janik Riese

16 papers receiving 328 citations

Peers

Janik Riese
Comparison fields: 5 of 78
  • Health Informatics 56
  • Pharmacology 57
  • Immunology 64
  • Pharmacology 22
  • Clinical Biochemistry 9
Replace Baisheng Sun with:
Baisheng Sun China
Alejandro Ríos-Hoyo United States
Po‐Chun Hsieh Taiwan
Changyi Li China
Yuri Hwang South Korea
Chang-Yun Woo South Korea
Thanat Chaikijurajai United States
Ishan Lakhani China
Chengxia Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Janik Riese

Since Specialization
Citations

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

Fields of papers citing papers by Janik Riese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Impairment of macrophage eicosanoid and nitric oxide production by an alkaloid from Sinomenium acutum.
199488
2 202461
3 199859
4 200321
5 200321
6 199714
7 202411
8 202111
9 199810
10 199810
11 20009
12 20219
13 20218
14 20224
15
[Production of chemokines by the human peritoneum].
19993
16 20242
17 20260

About Janik Riese

Janik Riese is a scholar working on Immunology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Health Informatics, having authored 17 papers that have together received 341 indexed citations. Recurring topics across this work include Immune Response and Inflammation (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Adrenal Hormones and Disorders (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Immune cells in cancer (2 papers), Sepsis Diagnosis and Treatment (2 papers), Intraperitoneal and Appendiceal Malignancies (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Health Informatics (56 citations), Pharmacology (57 citations), Immunology (64 citations), Pharmacology (22 citations) and Clinical Biochemistry (9 citations). Janik Riese has collaborated with scholars based in Germany. Frequent co-authors include Werner Hohenberger, A. Meyer, Thomas Streichert, Klaus Resch, Volkhard Kaever, W. Haupt, Katharina S. Weber, Michael Siassi, Gerald Niedobitek and Hubert Zirngibl. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Infection, JMIR Medical Education, Digestive Surgery and Journal of Thrombosis and Haemostasis.

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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