Vanida Ann Serna

2.3k citations
27 papers · 1.9k · h-index 18

Impact in

Papers in

Vanida Ann Serna

27 papers receiving 1.8k citations

Peers

Vanida Ann Serna
Comparison fields: 5 of 91
  • Obstetrics and Gynecology 707
  • Reproductive Medicine 585
  • Neurology 206
  • Neurology 79
  • Public Health, Environmental and Occupational Health 252
Replace Dong Hee Choi with:
Dong Hee Choi South Korea
Jacinthe Sirois Canada
Ping Duan China
Kelley J. Murphy United States
Angel Matías Sanchez Italy
Patrice Eydoux Canada
Ayumi Kitano United States
Glenn A. MacLean Canada
Sacha Wissink Netherlands
Tomoya Ozaki Japan
Vanida Ann Serna relative to Dong Hee Choi South Korea Dong Hee Choi's profile →
Citations per field
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Dong Hee Choi · 1×
Citations per year

Countries citing papers authored by Vanida Ann Serna

Since Specialization
Citations

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

Fields of papers citing papers by Vanida Ann Serna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanida Ann Serna. 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 Vanida Ann Serna. The network helps show where Vanida Ann Serna may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010310
2 2012250
3 2010228
4 2013153
5 2012123
6 2013111
7 202186
8 201572
9 201466
10 201865
11 201555
12 201453
13 201349
14 201045
15 201343
16 201736
17 201635
18 201922
19 202116
20 201716

About Vanida Ann Serna

Vanida Ann Serna is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Urology, Molecular Biology and Nutrition and Dietetics, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (9 papers), Endometrial and Cervical Cancer Treatments (6 papers), Endometriosis Research and Treatment (6 papers), Reproductive Biology and Fertility (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), TGF-β signaling in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Obstetrics and Gynecology (707 citations), Reproductive Medicine (585 citations), Neurology (206 citations), Neurology (79 citations) and Public Health, Environmental and Occupational Health (252 citations). Vanida Ann Serna has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Takeshi Kurita, Serdar Ekrem Bulun, Satrajit Sinha, Hiroshi Ishikawa, Wenan Qiang, Srikala Raghavan, Kirsten Smalley, Rose‐Anne Romano, Caitlin B.L. Magraw and Teresa K. Woodruff. Their work appears in journals such as Endocrinology, Cell Death and Differentiation, Proceedings of the National Academy of Sciences, Nature Communications and Developmental Biology.

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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