Erik Prell

527 citations
25 papers · 419 · h-index 13

Impact in

Papers in

    • Signaling Pathways in Disease 6
    • Glycosylation and Glycoproteins Research 6
    • Chemical Synthesis and Analysis 2
    • Carbohydrate Chemistry and Synthesis 10
    • Synthetic Organic Chemistry Methods 2

Erik Prell

23 papers receiving 414 citations

Peers

Erik Prell
Comparison fields: 5 of 90
  • Infectious Diseases 96
  • Pharmaceutical Science 28
  • Molecular Biology 213
  • Organic Chemistry 78
  • Cell Biology 43
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Soňa Gurská Czechia
Yanchao Pan China
Davide Carta Italy
Xiaohe Guo China
Sumaiya Sharmeen Canada
Federica Bucci Italy
Qingcui Wu China
В. И. Киселев Russia
Jang Hyun Park South Korea
Lynn Gennaro United States
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Citations per field
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Citations per year

Countries citing papers authored by Erik Prell

Since Specialization
Citations

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

Fields of papers citing papers by Erik Prell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014107
2 201353
3 201348
4 201732
5 201425
6 201519
7 201218
8 200917
9 201714
10 200814
11 201413
12 201012
13 200912
14 20168
15
[EEG changes in HIV infections].
19885
16 20105
17 20223
18 20103
19 20183
20 20093

About Erik Prell

Erik Prell is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Pharmaceutical Science and Oncology, having authored 25 papers that have together received 419 indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (10 papers), Signaling Pathways in Disease (6 papers), Glycosylation and Glycoproteins Research (6 papers), Lysosomal Storage Disorders Research (3 papers), Fluorine in Organic Chemistry (3 papers), Peptidase Inhibition and Analysis (3 papers), Chemical Synthesis and Analysis (2 papers) and Synthetic Organic Chemistry Methods (2 papers). The work is most often cited by research in Infectious Diseases (96 citations), Pharmaceutical Science (28 citations), Molecular Biology (213 citations), Organic Chemistry (78 citations) and Cell Biology (43 citations). Erik Prell has collaborated with scholars based in Germany, South Korea and Oman. Frequent co-authors include René Csük, Miroslav Malešević, Matthias Weiwad, David M. Ferrari, Günter Fischer, Yue Ma‐Lauer, Javier Carbajo-Lozoya, Doreen Muth, Albrecht von Brunn and Thomas F. Baumert. Their work appears in journals such as Tetrahedron, ChemBioChem, Archiv der Pharmazie, Virus Research and Advances in experimental medicine and 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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