John Sourdis

747 citations
18 papers · 593 · h-index 11

Impact in

  • Paleontology top 10%
    • Evolution and Paleontology Studies
  • Genetics top 10%
    • Genetic diversity and population structure

Papers in

    • Genomics and Phylogenetic Studies 3
    • Insect Resistance and Genetics 2
    • Genetic diversity and population structure 5

John Sourdis

18 papers receiving 549 citations

Peers

John Sourdis
Comparison fields: 5 of 92
  • Paleontology 54
  • Genetics 201
  • Insect Science 75
  • Molecular Biology 295
  • Animal Science and Zoology 43
Replace Tsukasa Nakamura with:
Tsukasa Nakamura Japan
Sylvain Marthey France
Miraine Dávila Felipe France
Thomas Pfisterer Germany
Gabriela Aguileta France
Li‐Chin Tsai Taiwan
Hsing‐Mei Hsieh Taiwan
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Citations per field
00.5×3.9×
Tsukasa Nakamura · 1×
Citations per year

Countries citing papers authored by John Sourdis

Since Specialization
Citations

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

Fields of papers citing papers by John Sourdis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1988147
2 199764
3 198764
4 200359
5 198744
6 199442
7 198842
8 200439
9 198028
10 199216
11 199615
12 19918
13 19958
14 19995
15
Recent improvements in handling allelic isozyme data for tree construction.
19875
16 19803
17 20113
18 20011

About John Sourdis

John Sourdis is a scholar working on Molecular Biology, Genetics, Insect Science, Plant Science and Paleontology, having authored 18 papers that have together received 593 indexed citations. Recurring topics across this work include Genetic diversity and population structure (5 papers), Genomics and Phylogenetic Studies (3 papers), Insect and Pesticide Research (3 papers), Insect Utilization and Effects (2 papers), Insect behavior and control techniques (2 papers), Evolution and Paleontology Studies (2 papers), Insect Resistance and Genetics (2 papers) and Insect Pest Control Strategies (2 papers). The work is most often cited by research in Paleontology (54 citations), Genetics (201 citations), Insect Science (75 citations), Molecular Biology (295 citations) and Animal Science and Zoology (43 citations). John Sourdis has collaborated with scholars based in Greece, United Kingdom and Italy. Frequent co-authors include M Nei, Costas B. Krimbas, George Aggelis, M. Loukas, C. Balis, Georgios I. Zervakis, Anna Rosa Garbuglia, Wen‐Hsiung Li, Kenneth H. Wolfe and Paul M. Sharp. Their work appears in journals such as Molecular Biology and Evolution, Heredity, Entomologia Experimentalis et Applicata, Journal of Clinical Microbiology and Genome.

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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