Arkadiusz Welman

698 total citations
17 papers, 571 citations indexed

About

Arkadiusz Welman is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Arkadiusz Welman has authored 17 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Arkadiusz Welman's work include Protein Kinase Regulation and GTPase Signaling (6 papers), Virus-based gene therapy research (2 papers) and Cancer Research and Treatments (2 papers). Arkadiusz Welman is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), Virus-based gene therapy research (2 papers) and Cancer Research and Treatments (2 papers). Arkadiusz Welman collaborates with scholars based in United Kingdom, Switzerland and Australia. Arkadiusz Welman's co-authors include Caroline Dive, Jörg Hagmann, Max M. Burger, Jane Barraclough, Christopher Cawthorne, Ian J. Stratford, Daisy Riquelme, Valerie G. Brunton, Gerd A. Blobel and Alan W. Lau and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Oncogene.

In The Last Decade

Arkadiusz Welman

17 papers receiving 559 citations

Peers

Arkadiusz Welman
Comparison fields: 5 of 80
  • Molecular Biology 312
  • Oncology 126
  • Pulmonary and Respiratory Medicine 96
  • Rheumatology 91
  • Cell Biology 91
Replace Erwin F. Wagner with:
Erwin F. Wagner Austria
Nathalie Nadal France
John J. Halliday United States
A.N. Bhisey India
Soraya Adris Argentina
Sarah Bhargava Germany
Toshifumi Azuma Japan
Gro Oddveig Ness Norway
Marleen M.R. Petit Belgium
Keiko Mayne Australia
Erwin F. Wagner Austria View profile →
Citations per field, relative to Arkadiusz Welman
Arkadiusz Welman · 1×
Citations per year, relative to Arkadiusz Welman
Arkadiusz Welman · 1×

Countries citing papers authored by Arkadiusz Welman

Since Specialization
Citations

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

Fields of papers citing papers by Arkadiusz Welman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arkadiusz Welman

This figure shows the co-authorship network connecting the top 25 collaborators of Arkadiusz Welman. A scholar is included among the top collaborators of Arkadiusz Welman 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 Arkadiusz Welman. Arkadiusz Welman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 8
2 16
3 21
4 120
5 37
6 19
7 14
8 28
9 3
10
Comparison of doxycycline delivery methods for Tet-inducible gene expression in a subcutaneous xenograft model.
56
11 24
12 21
13 58
14 18
15 32
16 49
17 47

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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2026