Stefan Zdraljevic

1.9k citations
27 papers · 989 indexed · h-index 18
  • Aging top 0.2%
    • Genetics, Aging, and Longevity in Model Organisms 19
    • Parasites and Host Interactions 3
  • Genetics top 5%
    • Evolution and Genetic Dynamics 14
    • Genetic Mapping and Diversity in Plants and Animals 4
    • CRISPR and Genetic Engineering 6
    • Single-cell and spatial transcriptomics 2
    • Mitochondrial Function and Pathology 2
    • Gene Regulatory Network Analysis 2

Stefan Zdraljevic

27 papers receiving 982 citations

Peers

Stefan Zdraljevic
Comparison fields: 5 of 68
  • Aging 608
  • Parasitology 109
  • Genetics 419
  • Small Animals 107
  • Endocrine and Autonomic Systems 84
Replace Ramesh Ratnappan with:
Ramesh Ratnappan United States
Robyn E. Tanny United States
Shannon C. Brady United States
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Waltraud Roeseler Germany
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Citations per field
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Citations per year

Countries citing papers authored by Stefan Zdraljevic

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Zdraljevic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20232
3 202214
4 202218
5 202177
6 202111
7 202126
8 202013
9 202017
10 201937
11 201949
12 201924
13 201921
14 201846
15 201864
16 201743
17 20178
18 201742
19 2016185
20 20136

About Stefan Zdraljevic

Stefan Zdraljevic is a scholar working on Aging, Genetics and Parasitology, having authored 27 papers that have together received 989 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (19 papers), Evolution and Genetic Dynamics (14 papers), CRISPR and Genetic Engineering (6 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Parasites and Host Interactions (3 papers), Single-cell and spatial transcriptomics (2 papers), Mitochondrial Function and Pathology (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Aging (608 citations), Parasitology (109 citations) and Genetics (419 citations). Stefan Zdraljevic has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Erik C. Andersen, Daniel E. Cook, Daehan Lee, Robyn E. Tanny, Shannon C. Brady, Timothy A. Crombie, Steffen Hahnel, Matthew V. Rockman, Christian Braendle and Leonid Kruglyak. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.

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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