Carmen Segarra

3.6k citations
52 papers · 984 indexed · h-index 20
Topics
Genetic diversity and population structure (20 papers)Chromosomal and Genetic Variations (17 papers)Insect Resistance and Genetics (17 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsGenetics

In The Last Decade

Carmen Segarra

49 papers receiving 970 citations

Peers

Carmen Segarra
Comparison fields: 5 of 57
  • Genetics 559
  • Molecular Biology 551
  • Plant Science 459
  • Insect Science 342
  • Ecology, Evolution, Behavior and Systematics 120
Replace Yoshiko N. Tobari with:
Yoshiko N. Tobari Japan
Anne Génissel France
Charis Cardeno United States
Rod Nagoshi United States
Elena R. Lozovskaya United States
Teresa D. Shippy United States
Leónidas Tsacas France
Joel Atallah United States
Haruhiko Fujiwara Japan
Gaël Le Trionnaire France
Carmen Segarra relative to Yoshiko N. Tobari Japan Yoshiko N. Tobari's profile →
Citations per field
00.5×6.8×
Yoshiko N. Tobari · 1×
Citations per year

Countries citing papers authored by Carmen Segarra

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Segarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Segarra

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Segarra. A scholar is included among the top collaborators of Carmen Segarra 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 Carmen Segarra. Carmen Segarra 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 3
2 7
3 16
4 3
5 20
6 17
7 16
8 18
9 2
10 51
11 27
12 0
13 46
14 30
15 37
16 44
17 14
18 56
19
Chromosomal survey in three genera of Alticinae (Coleoptera, Chrysomelidae).
11
20 8

About Carmen Segarra

Carmen Segarra is a scholar working on Insect Science, Genetics and Plant Science, having authored 52 papers that have together received 984 indexed citations. Recurring topics across this work include Genetic diversity and population structure (20 papers), Chromosomal and Genetic Variations (17 papers) and Insect Resistance and Genetics (17 papers). The work is most often cited by research in Insect Science (342 citations), Genetics (559 citations) and Plant Science (459 citations). Carmen Segarra has collaborated with scholars based in Spain, Portugal and United States. Frequent co-authors include Montserrat Aguadé, Julio Rozas, Griselda Ribó, Luís Serra, A. Prevosti, Montserrat Papaceit, Eduard Petitpierre, Alfredo Ruíz, María Monclús and Sebastián E. Ramos‐Onsins. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Genetics.

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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