Peter Ghenev

55 papers receiving 814 citations

Peers

Peter Ghenev
Comparison fields: 5 of 91
  • Developmental Neuroscience 47
  • Endocrine and Autonomic Systems 76
  • Cellular and Molecular Neuroscience 176
  • Genetics 96
  • Physiology 195
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Koji Osuka Japan
Li Huang China
Patricia Crock Australia
A. Mautes Germany
Ivana Novaković Serbia
Shintaro Iwama Japan
Zongyi Xie China
M.J. Whitehouse United States
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Peter Ghenev

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ghenev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004165
2 2003150
3 200179
4 201868
5 200155
6 202241
7
Atherosclerotic lesions: Possible interactive involvement of intima, adventitia and associated adipose tissue
200037
8 201131
9 201729
10 201425
11 201713
12
Leptin and Mast Cells: A Novel Adipoimmune Link
200112
13 201811
14 201611
15 201710
16 201210
17 19959
18 20177
19
Radioisotopic detection of sentinel lymph nodes in clinically localized high-risk prostate cancer.
20106
20 20176

About Peter Ghenev

Peter Ghenev is a scholar working on Surgery, Epidemiology, Cardiology and Cardiovascular Medicine, Genetics and Physiology, having authored 60 papers that have together received 858 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (15 papers), Cardiovascular Disease and Adiposity (13 papers), Adipose Tissue and Metabolism (11 papers), Glioma Diagnosis and Treatment (9 papers), Bladder and Urothelial Cancer Treatments (7 papers), Urinary and Genital Oncology Studies (4 papers), Mast cells and histamine (4 papers) and Nuclear Receptors and Signaling (4 papers). The work is most often cited by research in Developmental Neuroscience (47 citations), Endocrine and Autonomic Systems (76 citations), Cellular and Molecular Neuroscience (176 citations), Genetics (96 citations) and Physiology (195 citations). Peter Ghenev has collaborated with scholars based in Bulgaria, Italy and Romania. Frequent co-authors include George N. Chaldakov, Ivan S. Stankulov, Marco Fiore, Luigi Aloe, Minka Hristova, George S Stoyanov, Deyan Dzhenkov, Luigi Manni, Alessia Antonelli and Anton B. Tonchev. Their work appears in journals such as Archives of Physiology and Biochemistry, Biomedical Reviews, Cellular and Molecular Life Sciences, Cell Biology International and Frontiers in Immunology.

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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