Ferenc Jakab
- Infectious Diseases top 0.5%
- Animal Science and Zoology top 0.5%
- Cardiology and Cardiovascular Medicine top 2%
- Hepatology top 2%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Krisztián BànyaiVito MartellaGábor KemenesiMiklós OldalSzilvia MartonKornélia KuruczSzilvia L. FarkasGyörgy Szűcs
- Topics
- Viral gastroenteritis research and epidemiology (48 papers)Viral Infections and Vectors (36 papers)Animal Virus Infections Studies (35 papers)
- 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
- Cardiology and Cardiovascular Medicine 755
- Hepatology 334
- Public Health, Environmental and Occupational Health 321
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 of co-authors of Ferenc Jakab
This figure shows the co-authorship network connecting the top 25 collaborators of Ferenc Jakab. A scholar is included among the top collaborators of Ferenc Jakab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ferenc Jakab. Ferenc Jakab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | Blood-meal analysis and avian malaria screening of mosquitoes collected from human-inhabited areas in Hungary and Serbia | 9 |
| 7 | 19 | |
| 8 | 11 | |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 13 | |
| 12 | 32 | |
| 13 | 17 | |
| 14 | 47 | |
| 15 | 6 | |
| 16 | 29 | |
| 17 | 20 | |
| 18 | 7 | |
| 19 | 22 | |
| 20 | 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) and Animal Virus Infections Studies (35 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.