M. Rubessa

101 total papers · 853 total citations
54 papers, 541 citations indexed

About

M. Rubessa is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Agronomy and Crop Science. According to data from OpenAlex, M. Rubessa has authored 54 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Public Health, Environmental and Occupational Health, 16 papers in Reproductive Medicine and 15 papers in Agronomy and Crop Science. Recurrent topics in M. Rubessa's work include Reproductive Biology and Fertility (34 papers), Sperm and Testicular Function (14 papers) and Reproductive Physiology in Livestock (13 papers). M. Rubessa is often cited by papers focused on Reproductive Biology and Fertility (34 papers), Sperm and Testicular Function (14 papers) and Reproductive Physiology in Livestock (13 papers). M. Rubessa collaborates with scholars based in United States, Italy and Brazil. M. Rubessa's co-authors include Matthew B. Wheeler, Gabriel Popescu, Mikhail E. Kandel, Tan H. Nguyen, B. Gasparrini, Derek J. Milner, Giuseppe Campanile, Valentina Longobardi, Luigi Zicarelli and Francesco Santullo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

M. Rubessa

54 papers receiving 523 citations

Author Peers

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

Author						Papers	Cites
M. Rubessa	195	180	177	112	97	54	541
Roberto Puglisi	313 1.6×	164 0.9×	206 1.2×	142 1.3×	125 1.3×	28	600
Maosheng Cui	39 0.2×	212 1.2×	148 0.8×	118 1.1×	11 0.1×	45	489
Xianyi Cao	82 0.4×	272 1.5×	54 0.3×	185 1.7×	7 0.1×	23	541
Changsheng Dai	58 0.3×	128 0.7×	246 1.4×	107 1.0×	29 0.3×	40	501
Chao Han	72 0.4×	155 0.9×	345 1.9×	113 1.0×	88 0.9×	30	538
Nilay Chakraborty	25 0.1×	101 0.6×	127 0.7×	30 0.3×	25 0.3×	28	607
Stefania Luppi	23 0.1×	143 0.8×	54 0.3×	259 2.3×	20 0.2×	31	502
J. Liu	68 0.3×	240 1.3×	38 0.2×	219 2.0×	5 0.1×	29	535
K. Ito	89 0.5×	86 0.5×	33 0.2×	40 0.4×	3 0.0×	47	526
Tomonori Naguro	10 0.1×	176 1.0×	47 0.3×	130 1.2×	20 0.2×	32	604

Countries citing papers authored by M. Rubessa

Since Specialization

Citations

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

Fields of papers citing papers by M. Rubessa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Rubessa

This figure shows the co-authorship network connecting the top 25 collaborators of M. Rubessa. A scholar is included among the top collaborators of M. Rubessa 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 M. Rubessa. M. Rubessa 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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