Abigail Betanzos

3.1k citations
48 papers · 2.5k indexed · 1 hit paper · h-index 22

Abigail Betanzos

45 papers receiving 2.5k citations

Hit Papers

Tight junction proteins9492002202620102018250500750

Peers

Abigail Betanzos
Comparison fields: 5 of 116
  • Neurology 1.1k
  • Cell Biology 332
  • Molecular Biology 1.4k
  • Parasitology 111
  • Endocrinology 77
Replace Porfirio Nava with:
Porfirio Nava Mexico
Amanda M. Marchiando United States
Christopher Capaldo United States
Peter Florian Germany
Mari L. Shinohara United States
Ann M. Hopkins Ireland
Lars Vereecke Belgium
Ceniz Zihni United Kingdom
Makoto Osanai Japan
You‐Wen He United States
Abigail Betanzos relative to Porfirio Nava Mexico Porfirio Nava's profile →
Citations per field
00.5×3.6×
Porfirio Nava · 1×
Citations per year

Countries citing papers authored by Abigail Betanzos

Since Specialization
Citations

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

Fields of papers citing papers by Abigail Betanzos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20241
4 20243
5 20231
6 20225
7 202111
8 20202
9 201833
10 20183
11 20189
12 20186
13 201713
14 201734
15 201623
16 201629
17 201511
18 20144
19 201358
20 20098

About Abigail Betanzos

Abigail Betanzos is a scholar working on Neurology, Infectious Diseases, Parasitology, Hematology and Pharmacology, having authored 48 papers that have together received 2.5k indexed citations. Recurring topics across this work include Amoebic Infections and Treatments (18 papers), Barrier Structure and Function Studies (16 papers), Pediatric Hepatobiliary Diseases and Treatments (7 papers), Pancreatitis Pathology and Treatment (6 papers), Connexins and lens biology (6 papers), Iron Metabolism and Disorders (6 papers), Parasitic Infections and Diagnostics (5 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Neurology (1.1k citations), Cell Biology (332 citations), Molecular Biology (1.4k citations), Parasitology (111 citations) and Endocrinology (77 citations). Abigail Betanzos has collaborated with scholars based in Mexico, United States and Germany. Frequent co-authors include Lorenza González‐Mariscal, Porfirio Nava, Antonia Ávila‐Flores, Michael Schnoor, Esther Orozco, Miriam Huerta, Esther López‐Bayghen, Charles A. Parkos, Dominique A. Weber and Jacqueline Moreno. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Biochemical Journal, Experimental Cell Research, Molecular Microbiology and International Journal of Molecular Sciences.

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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