Csaba Jeney

623 citations
28 papers · 375 · h-index 12

Impact in

Papers in

    • Molecular Biology Techniques and Applications 3
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Cervical Cancer and HPV Research 8

Csaba Jeney

26 papers receiving 352 citations

Peers

Csaba Jeney
Comparison fields: 5 of 75
  • Microbiology 39
  • Molecular Medicine 26
  • Epidemiology 157
  • Applied Microbiology and Biotechnology 8
  • Cancer Research 39
Replace James W. Keith with:
James W. Keith United States
Nadia Keller Switzerland
Wenzhong Peng China
Rakesh Singh Dhanda India
Matthew Wickersham United States
Hannah Bayes United Kingdom
Qiuchan Deng China
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Akitaka Iwagaki Japan
Maria Manukyan Germany
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Citations per field
00.5×2.8×
James W. Keith · 1×
Citations per year

Countries citing papers authored by Csaba Jeney

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Jeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199947
2 199939
3 199939
4 201638
5 200838
6 200123
7 201620
8 200618
9 201516
10
Pelvic inflammatory disease is a risk factor for cervical cancer.
200314
11 200911
12 201611
13 20158
14 20216
15 20036
16 20206
17 20015
18 20005
19 20065
20 20074

About Csaba Jeney

Csaba Jeney is a scholar working on Molecular Biology, Epidemiology, Surgery, Microbiology and Cancer Research, having authored 28 papers that have together received 375 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (8 papers), Cancer-related molecular mechanisms research (4 papers), Molecular Biology Techniques and Applications (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Transplantation: Methods and Outcomes (3 papers), Reproductive tract infections research (3 papers), Virus-based gene therapy research (3 papers) and Tracheal and airway disorders (2 papers). The work is most often cited by research in Microbiology (39 citations), Molecular Medicine (26 citations), Epidemiology (157 citations), Applied Microbiology and Biotechnology (8 citations) and Cancer Research (39 citations). Csaba Jeney has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Márta Benczik, Tibor Takács, Attila Sebe, Orsolya Dobay, I Nász, Éva Ádám, Anna Lengyel, Dóra Szabó, Zsuzsa Schaff and Gábor Sobel. Their work appears in journals such as Pathology & Oncology Research, Journal of Clinical Microbiology, Archives of Virology, Nephron Experimental Nephrology and PLoS ONE.

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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