Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Studies of pancreatic alpha cell function in normal and diabetic subjects
1970695 citationsRoger H. Unger, E Aguilar-Parada et al.Journal of Clinical Investigationprofile →
Abnormal Alpha-Cell Function in Diabetes
1970503 citationsWalter A. Müller, Gerald R. Faloona et al.New England Journal of Medicineprofile →
Pancreatic Glucagon Secretion in Normal and Diabetic Subjects
1969495 citationsE Aguilar-Parada, Anna M. Eisentraut et al.The American Journal of the Medical Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by E Aguilar-Parada
Since
Specialization
Citations
This map shows the geographic impact of E Aguilar-Parada'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 E Aguilar-Parada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Aguilar-Parada more than expected).
Fields of papers citing papers by E Aguilar-Parada
This network shows the impact of papers produced by E Aguilar-Parada. 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 E Aguilar-Parada. The network helps show where E Aguilar-Parada may publish in the future.
Co-authorship network of co-authors of E Aguilar-Parada
This figure shows the co-authorship network connecting the top 25 collaborators of E Aguilar-Parada.
A scholar is included among the top collaborators of E Aguilar-Parada based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with E Aguilar-Parada. E Aguilar-Parada is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
12 of 12 papers shown
1.
Aguilar-Parada, E, et al.. (2000). [Plasma malondialdehyde in patients with type 2 diabetes mellitus and in patients with coronary disease].. PubMed. 136(1). 23–30.2 indexed citations
2.
Aguilar-Parada, E, et al.. (1986). High incidence of nonfunctioning oncocytomas in pituitary adenomas (ultrastructural study).. PubMed. 16(3). 247–54.1 indexed citations
Aguilar-Parada, E, et al.. (1972). [Metastasis to the endocrine glands (review of 1900 autopsies)].. PubMed. 31(184). 139–50.2 indexed citations
6.
Aguilar-Parada, E, et al.. (1971). [Clinical case. Pituitary carcinoma with Cushing's syndrome and melanosis].. PubMed. 2(2). 135–44.
7.
Müller, Walter A., Gerald R. Faloona, E Aguilar-Parada, & Roger H. Unger. (1970). Abnormal Alpha-Cell Function in Diabetes. New England Journal of Medicine. 283(3). 109–115.503 indexed citations breakdown →
8.
Unger, Roger H., E Aguilar-Parada, Walter A. Müller, & Anna M. Eisentraut. (1970). Studies of pancreatic alpha cell function in normal and diabetic subjects. Journal of Clinical Investigation. 49(4). 837–848.695 indexed citations breakdown →
Aguilar-Parada, E, et al.. (1969). Pancreatic Glucagon Secretion in Normal and Diabetic Subjects. The American Journal of the Medical Sciences. 257(6). 415–419.495 indexed citations breakdown →
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.