Luis Pasamontes

3.0k citations
27 papers · 2.4k indexed · h-index 24

Impact in

Papers in

Luis Pasamontes

27 papers receiving 2.3k citations

Peers

Luis Pasamontes
Comparison fields: 5 of 95
  • Biotechnology 314
  • Plant Science 1.1k
  • Pharmacy 142
  • Hematology 270
  • Cardiology and Cardiovascular Medicine 496
Replace J.R. Brunner with:
J.R. Brunner United States
Kee‐Jong Hong South Korea
Daniel Perlman United States
Moon‐Sik Yang South Korea
Servaas Visser Netherlands
M G Peterson Australia
R. Aschaffenburg United Kingdom
H.S. Savithri India
Juan J. Garrido Spain
Marvin B. Rhodes United States
Luis Pasamontes relative to J.R. Brunner United States J.R. Brunner's profile →
Citations per field
00.5×10×20×33.1×
J.R. Brunner · 1×
Citations per year

Countries citing papers authored by Luis Pasamontes

Since Specialization
Citations

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

Fields of papers citing papers by Luis Pasamontes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20039
2 200385
3 2002199
4 200271
5 200133
6 200037
7 2000150
8 2000212
9 200029
10 199749
11 199738
12 199676
13 199549
14 199326
15 199315
16 199325
17 199238
18 199112
19 199027
20 1987231

About Luis Pasamontes

Luis Pasamontes is a scholar working on Pharmacy, Biotechnology, Hematology, Animal Science and Zoology and Plant Science, having authored 27 papers that have together received 2.4k indexed citations. Recurring topics across this work include Phytase and its Applications (13 papers), Viral Infections and Immunology Research (7 papers), Iron Metabolism and Disorders (5 papers), Protein Hydrolysis and Bioactive Peptides (5 papers), RNA and protein synthesis mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Enzyme Production and Characterization (4 papers) and Oral and gingival health research (3 papers). The work is most often cited by research in Biotechnology (314 citations), Plant Science (1.1k citations), Pharmacy (142 citations), Hematology (270 citations) and Cardiology and Cardiovascular Medicine (496 citations). Luis Pasamontes has collaborated with scholars based in Switzerland, Denmark and United States. Frequent co-authors include Kurt Bienz, Denise Egger, Markus Wyss, Adolphus P. G. M. van Loon, Martin Lehmann, Søren F. Lassen, Michel Tessier, Kurt Vogel, David B. Mitchell and Monika Haiker. Their work appears in journals such as Applied and Environmental Microbiology, Molecular and Biochemical Parasitology, Protein Engineering Design and Selection, Virology and Journal of Virology.

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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