Ivan Jakovlić

71 papers receiving 4.2k citations

Ivan Jakovlić's Hit Papers

Using PhyloSuite for molecular phylogeny and tree‐based analyses 2023 · 256 citations
2560+2+4Years since publication50010001.5k2.0k2.5k

Peers

Ivan Jakovlić
Comparison fields: 5 of 105
  • Aquatic Science 505
  • Ecology, Evolution, Behavior and Systematics 853
  • Ecology 941
  • Insect Science 364
  • Molecular Biology 1.9k
Replace Wen X. Li with:
Wen X. Li China
Gui T. Wang China
Sara Guirao‐Rico Spain
Alejandro Sánchez‐Gracia Spain
Diego Darriba Germany
Jana Trifinopoulos Austria
André Gilles France
Alexey M. Kozlov Germany
Fangluan Gao China
Matthias Bernt Germany
Ivan Jakovlić relative to Wen X. Li China Wen X. Li's profile →
Citations per field
00.5×4.1×
Wen X. Li · 1×
Citations per year

Countries citing papers authored by Ivan Jakovlić

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Jakovlić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PhyloSuite: An integrated and scalable desktop platform for streamlined molecular sequence data management and evolutionary phylogenetics studies
Hit paper breakdown →
20192609
2
Using PhyloSuite for molecular phylogeny and tree‐based analyses
Hit paper breakdown →
2023256
3 201788
4 201779
5 201764
6 201757
7 202340
8 201540
9 201837
10 201837
11 201736
12 201736
13 201136
14 201935
15 201531
16 201830
17 201728
18 201727
19 201926
20 201626

About Ivan Jakovlić

Ivan Jakovlić is a scholar working on Molecular Biology, Ecology, Immunology, Aquatic Science and Genetics, having authored 74 papers that have together received 4.2k indexed citations. Recurring topics across this work include Parasite Biology and Host Interactions (17 papers), Aquaculture disease management and microbiota (17 papers), Genomics and Phylogenetic Studies (14 papers), Fish Biology and Ecology Studies (10 papers), Fish Ecology and Management Studies (9 papers), Genetic diversity and population structure (9 papers), Aquaculture Nutrition and Growth (7 papers) and interferon and immune responses (6 papers). The work is most often cited by research in Aquatic Science (505 citations), Ecology, Evolution, Behavior and Systematics (853 citations), Ecology (941 citations), Insect Science (364 citations) and Molecular Biology (1.9k citations). Ivan Jakovlić has collaborated with scholars based in China, Canada and Croatia. Frequent co-authors include Hong Zou, Dong Zhang, Fangluan Gao, Wen X. Li, Gui T. Wang, Jin Zhang, Weimin Wang, Shangong Wu, Han Liu and Guitang Wang. Their work appears in journals such as BMC Genomics, Parasites & Vectors, Fish & Shellfish Immunology, Frontiers in Microbiology 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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