Ferenc Jakab
- Infectious Diseases top 0.5%
- Viral gastroenteritis research and epidemiology 48
- Viral Infections and Vectors 36
- SARS-CoV-2 and COVID-19 Research 13
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies 35
- Hepatology top 2%
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- Viral Infections and Immunology Research 18
- Parasitology top 5%
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- Mosquito-borne diseases and control 22
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- Virus-based gene therapy research 17
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- Fire effects on ecosystems 11
- Co-authors
- Krisztián BànyaiVito MartellaGábor KemenesiMiklós OldalSzilvia MartonKornélia KuruczSzilvia L. FarkasGyörgy Szűcs
- Journals
- Nature Communications (1 paper)Scientific Reports (4 papers)International Journal of Molecular Sciences (1 paper)
- Partner nations
- HungaryItalyUnited States
In The Last Decade
Ferenc Jakab
118 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 107
- Infectious Diseases 2.2k
- Animal Science and Zoology 1.1k
- Hepatology 334
- Cardiology and Cardiovascular Medicine 755
- Parasitology 111
Countries citing papers authored by Ferenc Jakab
This map shows the geographic impact of Ferenc Jakab'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 Jakab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferenc Jakab more than expected).
Fields of papers citing papers by Ferenc Jakab
This network shows the impact of papers produced by Ferenc Jakab. 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 Jakab. The network helps show where Ferenc Jakab may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ferenc Jakab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2022 | 12 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 8 | |
| 5 | 2019 | 2 | |
| 6 | Blood-meal analysis and avian malaria screening of mosquitoes collected from human-inhabited areas in Hungary and Serbia | 2018 | 9 |
| 7 | 2018 | 19 | |
| 8 | 2017 | 11 | |
| 9 | 2015 | 12 | |
| 10 | 2014 | 9 | |
| 11 | 2014 | 13 | |
| 12 | 2014 | 32 | |
| 13 | 2014 | 17 | |
| 14 | 2014 | 47 | |
| 15 | 2014 | 6 | |
| 16 | 2013 | 29 | |
| 17 | 2013 | 20 | |
| 18 | 2010 | 7 | |
| 19 | 2007 | 22 | |
| 20 | 2003 | 16 |
About Ferenc Jakab
Ferenc Jakab is a scholar working on Infectious Diseases, Animal Science and Zoology and Hepatology, having authored 121 papers that have together received 2.5k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (48 papers), Viral Infections and Vectors (36 papers), Animal Virus Infections Studies (35 papers), Mosquito-borne diseases and control (22 papers), Viral Infections and Immunology Research (18 papers), Virus-based gene therapy research (17 papers), SARS-CoV-2 and COVID-19 Research (13 papers) and Fire effects on ecosystems (11 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Animal Science and Zoology (1.1k citations) and Hepatology (334 citations). Ferenc Jakab has collaborated with scholars based in Hungary, Italy and United States. Frequent co-authors include Krisztián Bànyai, Vito Martella, Gábor Kemenesi, Miklós Oldal, Szilvia Marton, Kornélia Kurucz, Szilvia L. Farkas, György Szűcs, Enikő Fehér and Brigitta Zana. Their work appears in journals such as Nature Communications, Scientific Reports and International Journal of Molecular Sciences.
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.