N. Lytras

721 citations
13 papers · 416 · h-index 10

Impact in

Papers in

N. Lytras

13 papers receiving 371 citations

Peers

N. Lytras
Comparison fields: 5 of 55
  • Behavioral Neuroscience 95
  • Endocrinology, Diabetes and Metabolism 334
  • Endocrine and Autonomic Systems 35
  • Biological Psychiatry 5
  • Pediatrics, Perinatology and Child Health 36
Replace Yoshino Kiyosawa with:
Yoshino Kiyosawa Japan
James W. Plonk United States
Monica A. Millan United States
Jennifer L. Thominet United States
M Benmiloud Algeria
Jean-Michel Dubuis Switzerland
L Belforte Italy
Masami Ono Japan
George Chrousos Greece
K. Moridera Japan
N. Lytras relative to Yoshino Kiyosawa Japan Yoshino Kiyosawa's profile →
Citations per field
00.5×
Yoshino Kiyosawa · 1×
Citations per year

Countries citing papers authored by N. Lytras

Since Specialization
Citations

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

Fields of papers citing papers by N. Lytras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1984103
2 198375
3 198472
4 198449
5 198429
6 198521
7 198419
8 198616
9 198414
10 198710
11
Radionuclide imaging with human polyclonal immunoglobulin (Tc-HIG) and bone scan in patients with rheumatoid arthritis and serum-negative polyarthritis.
20114
12 19853
13 20081

About N. Lytras

N. Lytras is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Physiology, having authored 13 papers that have together received 416 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Pituitary Gland Disorders and Treatments (5 papers), Stress Responses and Cortisol (5 papers), Regulation of Appetite and Obesity (2 papers), Neuropeptides and Animal Physiology (2 papers), Birth, Development, and Health (1 paper), Diabetes and associated disorders (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Behavioral Neuroscience (95 citations), Endocrinology, Diabetes and Metabolism (334 citations), Endocrine and Autonomic Systems (35 citations), Biological Psychiatry (5 citations) and Pediatrics, Perinatology and Child Health (36 citations). N. Lytras has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Ashley Grossman, D.H. Coy, G. M. Besser, John Wass, Lesley Rees, G. M. Besser, Javier Sueiras-Diaz, Susan Tomlin, Andrew V. Schally and M O Savage. Their work appears in journals such as Clinical Endocrinology, Scandinavian Journal of Gastroenterology, Neuroendocrinology, The Lancet and Clinical Science.

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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