Irene Ramos-Álvarez

825 citations
37 papers · 638 · h-index 15

Impact in

Papers in

Irene Ramos-Álvarez

35 papers receiving 633 citations

Peers

Irene Ramos-Álvarez
Comparison fields: 5 of 70
  • Cellular and Molecular Neuroscience 206
  • Oncology 192
  • Molecular Biology 293
  • Endocrine and Autonomic Systems 27
  • Gastroenterology 21
Replace Geetanjali Kharmate with:
Geetanjali Kharmate Canada
William P. Dunworth United States
Hideaki Nishihara Japan
Delphine Demeestere Belgium
Yagnesh Tailor United States
P.M.L. Santos United States
Sarah C. Starossom United States
Péter Nagyőszi Hungary
Marisa R. Buchakjian United States
Junfang Qin China
Irene Ramos-Álvarez relative to Geetanjali Kharmate Canada Geetanjali Kharmate's profile →
Citations per field
00.5×4.4×
Geetanjali Kharmate · 1×
Citations per year

Countries citing papers authored by Irene Ramos-Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Irene Ramos-Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irene Ramos-Álvarez. 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 Irene Ramos-Álvarez. The network helps show where Irene Ramos-Álvarez may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201695
2 201585
3 201845
4 201542
5 201932
6 201629
7 201829
8 202123
9 201922
10 201820
11 201720
12 201119
13 201814
14 201814
15 201314
16 202011
17 201611
18 201610
19 201210
20 201910

About Irene Ramos-Álvarez

Irene Ramos-Álvarez is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Epidemiology and Surgery, having authored 37 papers that have together received 638 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (11 papers), Neuroendocrine Tumor Research Advances (10 papers), Pancreatic and Hepatic Oncology Research (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), HER2/EGFR in Cancer Research (4 papers), Pancreatitis Pathology and Treatment (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (206 citations), Oncology (192 citations), Molecular Biology (293 citations), Endocrine and Autonomic Systems (27 citations) and Gastroenterology (21 citations). Irene Ramos-Álvarez has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Robert T. Jensen, Terry W. Moody, Paola Moreno, Samuel A. Mantey, Lingaku Lee, Bernardo Nuche‐Berenguer, Taichi Nakamura, David H. Coy, Tetsuhide Ito and R. T. Jensen. Their work appears in journals such as Peptides, American Journal of Physiology-Gastrointestinal and Liver Physiology, Biology, Frontiers in Endocrinology 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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