Ivan S. Login

2.1k citations
73 papers · 1.3k · h-index 20

Impact in

Papers in

Ivan S. Login

69 papers receiving 1.2k citations

Peers

Ivan S. Login
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 425
  • Cellular and Molecular Neuroscience 390
  • Behavioral Neuroscience 69
  • Reproductive Medicine 114
  • Endocrine and Autonomic Systems 86
Replace M Mazzuca with:
M Mazzuca France
John W. Kendall United States
P. Giraud France
Alessandra Colciago Italy
Marta Barontini Argentina
J.‐G. Chabot Canada
C. R. Müller Germany
Richard J. Konkol United States
Hideki Katakami Japan
Chang Su United States
Ivan S. Login relative to M Mazzuca France M Mazzuca's profile →
Citations per field
00.5×1.5×2.3×
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 198256
5 199054
6 199945
7 200444
8 200242
9 198736
10 198434
11 198532
12 198628
13 197528
14 198425
15 198724
16 198822
17
Regulation of prolactin secretion through dopamine, serotonin, and the cerebrospinal fluid.
197721
18 198320
19 197920
20 198319

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 (425 citations), Cellular and Molecular Neuroscience (390 citations), Behavioral Neuroscience (69 citations), Reproductive Medicine (114 citations) and Endocrine and Autonomic Systems (86 citations). Ivan S. Login has collaborated with scholars based in United States, Japan and Norway. Frequent co-authors include Robert M. MacLeod, Allan M. Judd, Michael J. Cronin, Jeffrey M. Burns, Michael O. Thorner, Alan D. Rogol, Bryan L. Spangelo, W. David Jarvis, Josephine Morris and Brian Conway. 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.

Explore authors with similar magnitude of impact