Nikolaos Barkas

4.0k citations
22 papers · 1.3k indexed · 1 hit paper · h-index 12
Topics
Single-cell and spatial transcriptomics (7 papers)Cancer Genomics and Diagnostics (4 papers)Acute Myeloid Leukemia Research (3 papers)

In The Last Decade

Nikolaos Barkas

20 papers receiving 1.3k citations

Hit Papers

Analysis of 6.4 million SARS-CoV-2 genomes identifies mut...2022202620232024202250100150

Peers

Nikolaos Barkas
Comparison fields: 5 of 99
  • Molecular Biology 858
  • Hematology 316
  • Cancer Research 308
  • Immunology 177
  • Infectious Diseases 152
Replace Edwin D. Hawkins with:
Edwin D. Hawkins Australia
Fiona Hamey United Kingdom
Joakim S. Dahlin Sweden
Irina Zaretsky Israel
Gillian May United Kingdom
Johanna Klughammer Austria
Saket Choudhary United States
Franziska Paul Israel
Paweł Zając Sweden
Paul Datlinger Austria
Nikolaos Barkas relative to Edwin D. Hawkins Australia Edwin D. Hawkins's profile →
Citations per field
00.5×5.8×
Edwin D. Hawkins · 1×
Citations per year

Countries citing papers authored by Nikolaos Barkas

Since Specialization
Citations

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

Fields of papers citing papers by Nikolaos Barkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolaos Barkas

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 12
4
Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitnessbreakdown →
162
5 15
6 110
7 10
8 10
9 204
10 166
11 22
12 126
13 39
14 1
15 1
16 287
17
Acoustic characterization of the ancient theatre of Tyndaris: Evaluation and proposals for its reuse
8
18 98
19 0
20 46

About Nikolaos Barkas

Nikolaos Barkas is a scholar working on Hematology, Classics and Behavioral Neuroscience, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Cancer Genomics and Diagnostics (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (316 citations), Cancer Research (308 citations) and Genetics (138 citations). Nikolaos Barkas has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Peter V. Kharchenko, Adam J. Mead, Sten Eirik W. Jacobsen, Alice Giustacchini, Alba Rodríguez-Meira, Benjamin Povinelli, Supat Thongjuea, Yaroslav Lozinsky, Neil Ashley and Samuel Demharter. Their work appears in journals such as Science, Nucleic Acids Research and Nature Medicine.

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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