G Cseh

517 citations
25 papers · 409 indexed · h-index 11

Impact in

Papers in

G Cseh

21 papers receiving 342 citations

Peers

G Cseh
Comparison fields: 5 of 62
  • Cellular and Molecular Neuroscience 186
  • Biochemistry 58
  • Endocrine and Autonomic Systems 35
  • Reproductive Medicine 33
  • Molecular Biology 263
Replace Frederic Stern with:
Frederic Stern United States
Syed M.I. Kazmi India
Motoo Oka Japan
Charles Burghardt United States
Hans-Jürgen Hess United States
A Finazzi-Agrò Italy
Charles M. Gammon United States
Stuart D.C. Ward United States
Guy Augert France
Candan A Akar United States
G Cseh relative to Frederic Stern United States Frederic Stern's profile →
Citations per field
00.5×1.5×
Frederic Stern · 1×
Citations per year

Countries citing papers authored by G Cseh

Since Specialization
Citations

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

Fields of papers citing papers by G Cseh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside G Cseh, 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 G Cseh Line = papers co-authored together G Cseh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
[Capsaicin-induced mouse ear edema and its management].
19911
2 197818
3 197734
4 197648
5 19744
6
Studies on the multiplicity of polypeptide hormones. I. Isolation of human pituitary growth hormone and characterization of the aggregates.
19743
7
Relationship between primary structure and lipolysis stimulating activity of beta-lipotropic hormone.
19732
8 197310
9 197234
10
Revised amide location for porcine and human adrenocorticotropic hormone.
197121
11 197153
12
An evidence for deamidation of prolactin monomer.
197011
13 196917
14 19699
15 196825
16
[CORRELATION BETWEEN THYMUS AND ADRENAL CORTEX HORMONES IN REGULATING THE SERUM PROPERDIN LEVEL].
19640
17 19642
18
[On the effect of sympathico-adrenal stimulation on the serum properdin level].
19630
19 19636
20 19623

About G Cseh

G Cseh is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Physiology, Internal Medicine and Pharmacology, having authored 25 papers that have together received 409 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (4 papers), Inflammatory mediators and NSAID effects (4 papers), Adipose Tissue and Metabolism (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Estrogen and related hormone effects (2 papers), Receptor Mechanisms and Signaling (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (186 citations), Biochemistry (58 citations), Endocrine and Autonomic Systems (35 citations), Reproductive Medicine (33 citations) and Molecular Biology (263 citations). G Cseh has collaborated with scholars based in Hungary and Sweden. Frequent co-authors include L. Gráf, Erzsébet Barát, Erik Änggård, M.Saeed Abdel-Halim, S. Bajusz, Á. Patthy, József I. Székely, László Gráf, András Z. Rónai and M Sajgó. Their work appears in journals such as FEBS Letters, Cellular and Molecular Life Sciences, Journal of Chromatography A, Die Naturwissenschaften and Hormone and Metabolic Research.

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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