Macarena Pampillo

1.7k citations
30 papers · 1.2k · h-index 22

Impact in

Papers in

Macarena Pampillo

30 papers receiving 1.2k citations

Peers

Macarena Pampillo
Comparison fields: 5 of 76
  • Reproductive Medicine 362
  • Cellular and Molecular Neuroscience 348
  • Endocrine and Autonomic Systems 65
  • Molecular Biology 663
  • Biochemistry 60
Replace Filippo Casoni with:
Filippo Casoni Italy
Manami Tsutsumi United States
Kimberly A. Burton United States
Nancy R. Stallings United States
Daniel Pisera Argentina
Sébastien Marion United States
Jacqueline C. Mitchell United Kingdom
Akie Yanai Japan
Andrée Tixier‐Vidal France
Galyna Bondar United States
Macarena Pampillo relative to Filippo Casoni Italy Filippo Casoni's profile →
Citations per field
00.5×1.5×
Filippo Casoni · 1×
Citations per year

Countries citing papers authored by Macarena Pampillo

Since Specialization
Citations

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

Fields of papers citing papers by Macarena Pampillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009121
2 2005118
3 200996
4 201179
5 200873
6 201463
7 201053
8 201045
9 200844
10 201043
11 201341
12 201338
13 200237
14 201535
15 200432
16 200129
17 200228
18 200927
19 201525
20 201425

About Macarena Pampillo

Macarena Pampillo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Reproductive Medicine, Genetics and Social Psychology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (12 papers), Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Neuroendocrine regulation and behavior (4 papers), Reproductive System and Pregnancy (4 papers), Neuropeptides and Animal Physiology (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Plant Reproductive Biology (3 papers). The work is most often cited by research in Reproductive Medicine (362 citations), Cellular and Molecular Neuroscience (348 citations), Endocrine and Autonomic Systems (65 citations), Molecular Biology (663 citations) and Biochemistry (60 citations). Macarena Pampillo has collaborated with scholars based in Canada, Argentina and United States. Frequent co-authors include Andy V. Babwah, Moshmi Bhattacharya, Mercedes Lasaga, Adriana Seilicovich, Cynthia Pape, Lianne B. Dale, Stephen S. G. Ferguson, Lynne‐Marie Postovit, Mateusz Zając and Y LI. Their work appears in journals such as Endocrinology, PLoS ONE, Journal of Biological Chemistry, Neuroreport and Journal of Neuroscience.

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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