Fernando Montoya

651 citations
35 papers · 375 indexed · h-index 12
Topics
Nonlinear Dynamics and Pattern Formation (9 papers)Sperm and Testicular Function (8 papers)Reproductive Biology and Fertility (6 papers)
Partner nations
MexicoUnited StatesIndia

In The Last Decade

Fernando Montoya

31 papers receiving 356 citations

Peers

Fernando Montoya
Comparison fields: 5 of 99
  • Pathology and Forensic Medicine 115
  • Genetics 88
  • Rheumatology 68
  • Reproductive Medicine 67
  • Public Health, Environmental and Occupational Health 58
Replace Mattan Levi with:
Mattan Levi Israel
Qingcai Wang China
Pavan Kumar India
Takashi Iizumi Japan
Hiroshi Yoshitake Japan
Yoshida Japan
Shohei Kawasaki Japan
Taisei Suzuki Japan
Gabriele Babini Italy
Atsushi Yasumoto Japan
Fernando Montoya relative to Mattan Levi Israel Mattan Levi's profile →
Citations per field
00.5×7.6×
Mattan Levi · 1×
Citations per year

Countries citing papers authored by Fernando Montoya

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Montoya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Montoya

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Montoya. A scholar is included among the top collaborators of Fernando Montoya 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 Fernando Montoya. Fernando Montoya 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 0
2 1
3 2
4 0
5 7
6 19
7 25
8 0
9 11
10 5
11 7
12 11
13 0
14 30
15 2
16 11
17 25
18 73
19 1
20 2

About Fernando Montoya

Fernando Montoya is a scholar working on Reproductive Medicine, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 35 papers that have together received 375 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (9 papers), Sperm and Testicular Function (8 papers) and Reproductive Biology and Fertility (6 papers). The work is most often cited by research in Genetics (88 citations), Reproductive Medicine (67 citations) and Pathology and Forensic Medicine (115 citations). Fernando Montoya has collaborated with scholars based in Mexico, United States and India. Frequent co-authors include Ana María Abreu Vélez, Wendy B. Bollag, Gabriel Corkidi, Alberto Darszon, P. Parmananda, M. Rivera, Takashi Hashimoto, Ernst H. Beutner, Sergio Iván Tobón‐Arroyave and Paul Hernández‐Herrera. Their work appears in journals such as The Journal of Chemical Physics, Scientific Reports and Journal of Cell Science.

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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