Vilma Tapia

41 papers receiving 865 citations

Peers

Vilma Tapia
Comparison fields: 5 of 92
  • Obstetrics and Gynecology 157
  • Health, Toxicology and Mutagenesis 247
  • Endocrine and Autonomic Systems 82
  • Hematology 117
  • Pediatrics, Perinatology and Child Health 152
Replace Gagandeep Kaur Walia with:
Gagandeep Kaur Walia India
Enrique Trigo United States
Yingchun Liu China
Xiaoli Sun China
Xiaoting Shen China
Anne Debost‐Legrand France
Karen Todoroff United States
Wenzhen Ge United States
Manuela Orjuela United States
Kui Deng China
Vilma Tapia relative to Gagandeep Kaur Walia India Gagandeep Kaur Walia's profile →
Citations per field
00.5×8.2×
Gagandeep Kaur Walia · 1×
Citations per year

Countries citing papers authored by Vilma Tapia

Since Specialization
Citations

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

Fields of papers citing papers by Vilma Tapia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009117
2 201653
3 200651
4 202046
5 200943
6 201942
7 202140
8 201934
9 201131
10 201128
11 200726
12 201226
13 201125
14 201823
15 201221
16 200821
17 201220
18 201420
19 201420
20 201318

About Vilma Tapia

Vilma Tapia is a scholar working on Health, Toxicology and Mutagenesis, Genetics, Pollution, Genetics and Obstetrics and Gynecology, having authored 44 papers that have together received 882 indexed citations. Recurring topics across this work include High Altitude and Hypoxia (9 papers), Air Quality and Health Impacts (9 papers), Climate Change and Health Impacts (7 papers), Energy and Environment Impacts (6 papers), Hemoglobinopathies and Related Disorders (6 papers), Hormonal and reproductive studies (4 papers), Pregnancy and preeclampsia studies (4 papers) and Maternal and Neonatal Healthcare (3 papers). The work is most often cited by research in Obstetrics and Gynecology (157 citations), Health, Toxicology and Mutagenesis (247 citations), Endocrine and Autonomic Systems (82 citations), Hematology (117 citations) and Pediatrics, Perinatology and Child Health (152 citations). Vilma Tapia has collaborated with scholars based in Peru, United States and Switzerland. Frequent co-authors include Gustavo F. Gonzáles, Kyle Steenland, Manuel Gasco, Carlos Carrillo, Cynthia Gonzales‐Castañeda, Bryan N. Vu, Yang Liu, Ana Pilar Betrán, Alfredo L. Fort and Odón R. Sánchez-Ccoyllo. Their work appears in journals such as International Journal of Gynecology & Obstetrics, Hormone and Metabolic Research, Environmental Research, Journal of Exposure Science & Environmental Epidemiology and Archives of Gynecology and Obstetrics.

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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