Carmela Guido

51 total papers · 2.6k total citations
35 papers, 2.0k citations indexed

About

Carmela Guido is a scholar working on Reproductive Medicine, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Carmela Guido has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Reproductive Medicine, 18 papers in Molecular Biology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Carmela Guido's work include Sperm and Testicular Function (16 papers), Reproductive Biology and Fertility (8 papers) and Ovarian function and disorders (7 papers). Carmela Guido is often cited by papers focused on Sperm and Testicular Function (16 papers), Reproductive Biology and Fertility (8 papers) and Ovarian function and disorders (7 papers). Carmela Guido collaborates with scholars based in Italy, United States and United Kingdom. Carmela Guido's co-authors include Saveria Aquila, Sebastiano Andò, Ida Perrotta, Federica Sotgia, Michael P. Lisanti, Anthony Howell, Diana Whitaker‐Menezes, Richard G. Pestell, Ubaldo Martinez‐Outschoorn and Marta Santoro and has published in prestigious journals such as Endocrinology, British Journal of Pharmacology and Molecular Cancer.

In The Last Decade

Carmela Guido

35 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carmela Guido 851 510 441 297 278 35 2.0k
Nikki P.Y. Lee 1.2k 1.5× 869 1.7× 375 0.9× 407 1.4× 273 1.0× 34 2.4k
Dong Zhang 958 1.1× 286 0.6× 429 1.0× 414 1.4× 284 1.0× 72 1.8k
Fayçal Boussouar 1.8k 2.1× 358 0.7× 287 0.7× 215 0.7× 171 0.6× 24 2.5k
Montserrat Barragán 1.3k 1.5× 330 0.6× 164 0.4× 479 1.6× 307 1.1× 51 2.1k
Banu Gopalan 905 1.1× 388 0.8× 162 0.4× 258 0.9× 163 0.6× 37 2.0k
Markus Brielmeier 1.2k 1.5× 227 0.4× 203 0.5× 138 0.5× 369 1.3× 46 2.4k
Kiminobu Goto 1.2k 1.4× 375 0.7× 246 0.6× 333 1.1× 151 0.5× 45 2.5k
Mary L. Hixon 793 0.9× 162 0.3× 245 0.6× 160 0.5× 341 1.2× 36 1.8k
Shoshana Paglin 948 1.1× 269 0.5× 224 0.5× 365 1.2× 238 0.9× 20 1.8k
Nava Nevo 718 0.8× 544 1.1× 211 0.5× 692 2.3× 88 0.3× 41 1.9k

Countries citing papers authored by Carmela Guido

Since Specialization
Citations

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

Fields of papers citing papers by Carmela Guido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmela Guido

This figure shows the co-authorship network connecting the top 25 collaborators of Carmela Guido. A scholar is included among the top collaborators of Carmela Guido 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 Carmela Guido. Carmela Guido is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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