Vladimir Lažetić

558 citations
17 papers · 304 indexed · h-index 11
Topics
Genetics, Aging, and Longevity in Model Organisms (13 papers)CRISPR and Genetic Engineering (5 papers)Photosynthetic Processes and Mechanisms (3 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
United StatesSerbiaChina

In The Last Decade

Vladimir Lažetić

17 papers receiving 303 citations

Peers

Vladimir Lažetić
Comparison fields: 5 of 54
  • Aging 180
  • Molecular Biology 159
  • Genetics 46
  • Endocrine and Autonomic Systems 39
  • Cell Biology 38
Replace Deborah L. McEwan with:
Deborah L. McEwan United States
Barbara Squiban France
Lianne B. Cohen United States
Maricela Robles‐Murguia United States
Kerstin Isermann Germany
Gaotian Zhang United States
Johan Panek France
Julia Pak United States
Ana Paula Elias Portugal
Paola Jurado Spain
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Citations per field
00.5×2.9×
Deborah L. McEwan · 1×
Citations per year

Countries citing papers authored by Vladimir Lažetić

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Lažetić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Lažetić

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Lažetić. A scholar is included among the top collaborators of Vladimir Lažetić 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 Vladimir Lažetić. Vladimir Lažetić 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
#WorkIndexed citations
1 1
2 5
3 19
4 4
5 17
6 14
7 33
8 25
9 11
10 21
11 3
12 19
13 80
14 18
15 24
16 8
17 2

About Vladimir Lažetić

Vladimir Lažetić is a scholar working on Aging, Endocrine and Autonomic Systems and Cell Biology, having authored 17 papers that have together received 304 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (13 papers), CRISPR and Genetic Engineering (5 papers) and Photosynthetic Processes and Mechanisms (3 papers). The work is most often cited by research in Aging (180 citations), Endocrine and Autonomic Systems (39 citations) and Biological Psychiatry (13 citations). Vladimir Lažetić has collaborated with scholars based in United States, Serbia and China. Frequent co-authors include David S. Fay, Emily R. Troemel, Keir M. Balla, Spencer S. Gang, John Yochem, Lakshmi E. Batachari, Lihsia Chen, Leslie Bell, Alistair B. Russell and Gira Bhabha. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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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