Oliver Pilgram

1.1k total citations · 1 hit paper
8 papers, 696 citations indexed

About

Oliver Pilgram is a scholar working on Infectious Diseases, Molecular Biology and Genetics. According to data from OpenAlex, Oliver Pilgram has authored 8 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Oliver Pilgram's work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Virus-based gene therapy research (2 papers). Oliver Pilgram is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Virus-based gene therapy research (2 papers). Oliver Pilgram collaborates with scholars based in Germany, Hungary and Denmark. Oliver Pilgram's co-authors include Torsten Steinmetzer, Eva Böttcher‐Friebertshäuser, Hong M. Moulton, Cornelius Rohde, Wolfgang Garten, David A. Stein, Markus Eickmann, Hannah Limburg, Miriam Ruth Heindl and Kornelia Hardes and has published in prestigious journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry and Biomedicine & Pharmacotherapy.

In The Last Decade

Oliver Pilgram

8 papers receiving 687 citations

Hit Papers

TMPRSS2 and furin are both essential for proteolytic acti... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Oliver Pilgram Germany 7 505 182 97 74 69 8 696
Miriam Ruth Heindl Germany 6 516 1.0× 166 0.9× 103 1.1× 76 1.0× 68 1.0× 7 719
Cornelius Rohde Germany 7 582 1.2× 165 0.9× 94 1.0× 76 1.0× 63 0.9× 13 740
Hannah Limburg Germany 4 570 1.1× 174 1.0× 131 1.4× 83 1.1× 69 1.0× 6 762
Tai‐Ling Chao Taiwan 14 393 0.8× 149 0.8× 83 0.9× 36 0.5× 89 1.3× 41 633
Kirstin Mösbauer Germany 5 397 0.8× 197 1.1× 78 0.8× 75 1.0× 72 1.0× 5 681
Rozhgar A. Khailany Iraq 6 500 1.0× 218 1.2× 44 0.5× 47 0.6× 79 1.1× 17 676
Ruochen Zang China 9 557 1.1× 292 1.6× 110 1.1× 118 1.6× 28 0.4× 13 926
Gitanjali Subramanya United States 7 438 0.9× 114 0.6× 78 0.8× 71 1.0× 62 0.9× 8 793
Min-Han Lin Taiwan 10 325 0.6× 156 0.9× 36 0.4× 44 0.6× 91 1.3× 14 522
Junwen Luan China 10 347 0.7× 146 0.8× 74 0.8× 38 0.5× 76 1.1× 15 614

Countries citing papers authored by Oliver Pilgram

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Pilgram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Pilgram

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Pilgram. A scholar is included among the top collaborators of Oliver Pilgram based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Oliver Pilgram. Oliver Pilgram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Steinmetzer, Torsten, et al.. (2023). In vitro testing of host-targeting small molecule antiviral matriptase/TMPRSS2 inhibitors in 2D and 3D cell-based assays. Biomedicine & Pharmacotherapy. 168. 115761–115761. 6 indexed citations
2.
Nagy, Gábor, Zoltán Pászti, Ákos Jerzsele, et al.. (2022). Interspecies Comparisons of the Effects of Potential Antiviral 3-Amidinophenylalanine Derivatives on Cytochrome P450 1A2 Isoenzyme. Veterinary Sciences. 9(4). 156–156. 4 indexed citations
3.
Pilgram, Oliver, Janis A. Müller, Florent Chevillard, et al.. (2022). Improving the selectivity of 3-amidinophenylalanine-derived matriptase inhibitors. European Journal of Medicinal Chemistry. 238. 114437–114437. 14 indexed citations
4.
Nagy, Gábor, Zoltán Pászti, Oliver Pilgram, et al.. (2021). In vitro interaction of potential antiviral TMPRSS2 inhibitors with human serum albumin and cytochrome P 450 isoenzymes. Biomedicine & Pharmacotherapy. 146. 112513–112513. 8 indexed citations
5.
Jerzsele, Ákos, et al.. (2021). Exposure of human intestinal epithelial cells and primary human hepatocytes to trypsin-like serine protease inhibitors with potential antiviral effect. Journal of Enzyme Inhibition and Medicinal Chemistry. 36(1). 659–668. 8 indexed citations
6.
Heindl, Miriam Ruth, Hannah Limburg, Oliver Pilgram, et al.. (2020). TMPRSS2 and furin are both essential for proteolytic activation of SARS-CoV-2 in human airway cells. Life Science Alliance. 3(9). e202000786–e202000786. 598 indexed citations breakdown →
7.
Steinmetzer, Torsten, et al.. (2019). Fibrinolysis Inhibitors: Potential Drugs for the Treatment and Prevention of Bleeding. Journal of Medicinal Chemistry. 63(4). 1445–1472. 23 indexed citations
8.
Smith, Anton A. A., Kaja Zuwała, Oliver Pilgram, et al.. (2016). Albumin–Polymer–Drug Conjugates: Long Circulating, High Payload Drug Delivery Vehicles. ACS Macro Letters. 5(10). 1089–1094. 35 indexed citations

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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