Isabel Casas

52 papers receiving 995 citations

Peers

Isabel Casas
Comparison fields: 5 of 108
  • Reproductive Medicine 648
  • Physiology 122
  • Public Health, Environmental and Occupational Health 545
  • Agronomy and Crop Science 146
  • Finance 64
Replace K. S. Sidhu with:
K. S. Sidhu India
Sharon T. Mortimer Australia
Eneiva Carla Carvalho Celeghini Brazil
Néstor Sepúlveda Chile
Rubens Paes de Arruda Brazil
Mehmet Bozkurt Ataman Türkiye
Christopher E. Marshall United States
Éric Palmer France
Stewart Irvine United Kingdom
Matthew J. Freund United States
Isabel Casas relative to K. S. Sidhu India K. S. Sidhu's profile →
Citations per field
00.5×5×10×15×21.3×
K. S. Sidhu · 1×
Citations per year

Countries citing papers authored by Isabel Casas

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200999
2 201385
3 201065
4 200754
5 201854
6 201251
7 201450
8 201543
9 200543
10 200941
11 202236
12 200730
13 200729
14 200827
15 200725
16 200522
17 201122
18 202120
19 200520
20 201317

About Isabel Casas

Isabel Casas is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Finance, Insect Science and Genetics, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sperm and Testicular Function (24 papers), Reproductive Biology and Fertility (18 papers), Stochastic processes and financial applications (7 papers), Financial Risk and Volatility Modeling (7 papers), Bee Products Chemical Analysis (6 papers), Dementia and Cognitive Impairment Research (4 papers), Reproductive Physiology in Livestock (4 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Reproductive Medicine (648 citations), Physiology (122 citations), Public Health, Environmental and Occupational Health (545 citations), Agronomy and Crop Science (146 citations) and Finance (64 citations). Isabel Casas has collaborated with scholars based in Spain, Denmark and Australia. Frequent co-authors include Marc Yeste, Sergi Bonet, S. Sancho, Elisabeth Pinart, Eva Bussalleu Muntada, M. Dolors Briz, Joan Enric Rodríguez-Gil, Jiti Gao, Gary C. Althouse and Anna Pruneda. Their work appears in journals such as Theriogenology, Reproduction in Domestic Animals, Animal Reproduction Science, Journal of Econometrics and International Journal of Medical Informatics.

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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