Ivan Fernandez‐Madrid

1.8k citations
12 papers · 1.4k indexed · 1 hit paper · h-index 9
Topics
Total Knee Arthroplasty Outcomes (5 papers)Orthopaedic implants and arthroplasty (4 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers)
Partner nations
United StatesFinland

In The Last Decade

Ivan Fernandez‐Madrid

11 papers receiving 1.3k citations

Hit Papers

Mutation of the Alzheimer's Disease Amyloid Gene in Hered...199020262002201419902505007501000

Peers

Ivan Fernandez‐Madrid
Comparison fields: 5 of 73
  • Physiology 970
  • Molecular Biology 799
  • Neurology 182
  • Surgery 155
  • Cellular and Molecular Neuroscience 153
Replace H. Backhovens with:
H. Backhovens Belgium
Elizabeth Gowing Canada
Ferdie Soriano United States
Maureen E. Balestra United States
Shiro Sugihara Japan
María V. Andrés Germany
Hiroshi Hasegawa Japan
A. L. Schwarzman Russia
Sonali Joyce United States
Kristina R. Patterson United States
Ivan Fernandez‐Madrid relative to H. Backhovens Belgium H. Backhovens's profile →
Citations per field
00.5×5.3×
H. Backhovens · 1×
Citations per year

Countries citing papers authored by Ivan Fernandez‐Madrid

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Fernandez‐Madrid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Fernandez‐Madrid. 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 Ivan Fernandez‐Madrid. The network helps show where Ivan Fernandez‐Madrid may publish in the future.

Co-authorship network of co-authors of Ivan Fernandez‐Madrid

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 11
5 76
6 38
7 10
8 25
9 25
10 120
11
Mutation of the Alzheimer's Disease Amyloid Gene in Hereditary Cerebral Hemorrhage, Dutch Typebreakdown →
1044
12 27

About Ivan Fernandez‐Madrid

Ivan Fernandez‐Madrid is a scholar working on Surgery, Small Animals and Physiology, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (5 papers), Orthopaedic implants and arthroplasty (4 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers). The work is most often cited by research in Physiology (970 citations), Neurology (129 citations) and Neurology (182 citations). Ivan Fernandez‐Madrid has collaborated with scholars based in United States and Finland. Frequent co-authors include Blas Frangione, Efrat Levy, Michael D. Power, W Luyendijk, Sjoerd G. van Duinen, M. D. Carman, G. Th. A. M. Bots, Ivan Lieberburg, Matti Haltia and Jorge Ghiso. Their work appears in journals such as Science, The Journal of Experimental Medicine and Annals of Neurology.

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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