Konrad Paszkiewicz

5.0k citations
75 papers · 3.6k indexed · h-index 32

Impact in

Papers in

Konrad Paszkiewicz

73 papers receiving 3.5k citations

Peers

Konrad Paszkiewicz
Comparison fields: 5 of 142
  • Endocrinology 221
  • Plant Science 1.2k
  • Molecular Medicine 142
  • Molecular Biology 1.7k
  • Ecology 555
Replace Tamer Gür with:
Tamer Gür United Kingdom
Walter Pirovano Netherlands
Nicola Buso United Kingdom
Nandana Madhusoodanan United Kingdom
Fábio Madeira United Kingdom
Fu Lu United States
Marius van den Beek France
Aurélien Luciani United Kingdom
David I. Hurwitz United States
Adrian R. Tivey United Kingdom
Konrad Paszkiewicz relative to Tamer Gür United Kingdom Tamer Gür's profile →
Citations per field
00.5×2.8×
Tamer Gür · 1×
Citations per year

Countries citing papers authored by Konrad Paszkiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Konrad Paszkiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 20232
4 202246
5 202013
6 20204
7 201842
8 20177
9 201722
10 20179
11 201555
12 201520
13 201528
14 201530
15 2014134
16 201340
17 2011200
18 201037
19 2010122
20 201090

About Konrad Paszkiewicz

Konrad Paszkiewicz is a scholar working on Endocrinology, Molecular Medicine, Plant Science, Parasitology and Ecology, having authored 75 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Bacteriophages and microbial interactions (10 papers), Enterobacteriaceae and Cronobacter Research (8 papers), Plant-Microbe Interactions and Immunity (8 papers), Plant Pathogenic Bacteria Studies (8 papers), Genomics and Chromatin Dynamics (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Endocrinology (221 citations), Plant Science (1.2k citations), Molecular Medicine (142 citations), Molecular Biology (1.7k citations) and Ecology (555 citations). Konrad Paszkiewicz has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Karen Moore, David J. Studholme, Hannah Florance, Audrey Farbos, Nicholas Smirnoff, Darren M. Soanes, Paul O’Neill, Thomas W. Laver, Jamie Harrison and Nicholas J. Talbot. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, PLoS Genetics, BMC Genomics and Environmental Microbiology.

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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