Ferenc Salamon

954 citations
33 papers · 713 indexed · h-index 12

Impact in

Papers in

    • IgG4-Related and Inflammatory Diseases 2
    • Pancreatic and Hepatic Oncology Research 2

Ferenc Salamon

28 papers receiving 676 citations

Peers

Ferenc Salamon
Comparison fields: 5 of 88
  • Obstetrics and Gynecology 98
  • Endocrine and Autonomic Systems 57
  • Epidemiology 250
  • Physiology 168
  • Endocrinology, Diabetes and Metabolism 77
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Ferenc Salamon

Since Specialization
Citations

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

Fields of papers citing papers by Ferenc Salamon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20240
3 201512
4 201553
5 201412
6 20141
7 20138
8 20132
9 201217
10 20123
11 201126
12 2003178
13 2002118
14 200162
15 199989
16 199849
17
[Tumor necrosis factor-alpha; a possible pathogenic factor in obesity in insulin resistant and non-insulin-dependent diabetes mellitus?].
19981
18 199736
19
Use of macrophage inhibition factor and mast-cell degranulation tests for diagnosis of cloxacillin-induced cholestasis.
19866
20
Effect of ACTH-stimulated glucocorticoid hypersecretion on the serum concentrations of thyroxine-binding globulin, thyroxine, triiodothyronine, reverse triiodothyronine and on the TSH-response to TRH.
19798

About Ferenc Salamon

Ferenc Salamon is a scholar working on Rheumatology, Oncology, Obstetrics and Gynecology, Hepatology and Developmental Neuroscience, having authored 33 papers that have together received 713 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (4 papers), Gastrointestinal disorders and treatments (3 papers), IgG4-Related and Inflammatory Diseases (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Diabetes and associated disorders (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Obstetrics and Gynecology (98 citations), Endocrine and Autonomic Systems (57 citations), Epidemiology (250 citations), Physiology (168 citations) and Endocrinology, Diabetes and Metabolism (77 citations). Ferenc Salamon has collaborated with scholars based in Hungary, United States and Denmark. Frequent co-authors include Margit Kovács, Gábor Speer, Károly Cseh, Gábor Winkler, István Karádi, P. Vargha, O. Dworák, Zoltàn Sápi, Zsolt Melczer and É Baranyi. Their work appears in journals such as Pathology & Oncology Research, Diabetes Research and Clinical Practice, International Journal of Surgery, Diabetic Medicine and Diagnostic Pathology.

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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