Ivan S. Login

2.1k citations
73 papers · 1.3k · h-index 21

Impact in

Papers in

Ivan S. Login

71 papers receiving 1.3k citations

Peers

Ivan S. Login
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 445
  • Cellular and Molecular Neuroscience 412
  • Behavioral Neuroscience 73
  • Reproductive Medicine 130
  • Endocrine and Autonomic Systems 91
Replace M Mazzuca with:
M Mazzuca France
Marta Barontini Argentina
John W. Kendall United States
Francesca Passarelli Italy
Kazuhiko Horiguchi Japan
Vera Chesnokova United States
P. Giraud France
Alessandra Colciago Italy
Ángel Campos‐Barros Spain
Chang Su United States
Ivan S. Login relative to M Mazzuca France M Mazzuca's profile →
Citations per field
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M Mazzuca · 1×
Citations per year

Countries citing papers authored by Ivan S. Login

Since Specialization
Citations

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

Fields of papers citing papers by Ivan S. Login

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan S. Login. 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 Ivan S. Login. The network helps show where Ivan S. Login may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981132
2 197792
3 198879
4 198255
5 199054
6 199943
7 200443
8 200242
9 198735
10 198434
11 198532
12 198329
13 198628
14 198627
15 197527
16 198425
17 198724
18 198822
19
Regulation of prolactin secretion through dopamine, serotonin, and the cerebrospinal fluid.
197721
20 197920

About Ivan S. Login

Ivan S. Login is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Neurology and Reproductive Medicine, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Receptor Mechanisms and Signaling (18 papers), Growth Hormone and Insulin-like Growth Factors (14 papers), Ion channel regulation and function (13 papers), Pituitary Gland Disorders and Treatments (10 papers), Hypothalamic control of reproductive hormones (8 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Thyroid Disorders and Treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (445 citations), Cellular and Molecular Neuroscience (412 citations), Behavioral Neuroscience (73 citations), Reproductive Medicine (130 citations) and Endocrine and Autonomic Systems (91 citations). Ivan S. Login has collaborated with scholars based in United States, Japan and Vietnam. Frequent co-authors include Robert M. MacLeod, Allan M. Judd, Michael J. Cronin, Michael O. Thorner, Jeffrey M. Burns, Alan D. Rogol, W. David Jarvis, Bryan L. Spangelo, Brian Conway and Josephine Morris. Their work appears in journals such as Brain Research, Endocrinology, Neurology, American Journal of Physiology-Endocrinology and Metabolism and Neuroendocrinology.

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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