Henrietta Papp
Impact in
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
-
- Alzheimer's disease research and treatments
Papers in
- Physiology 11
- Alzheimer's disease research and treatments 11
-
- Viral Infections and Vectors 7
- Co-authors
- P. Kása (15 shared papers)Magdolna Pákáski (7 shared papers)I. Török (2 shared papers)Botond Penke (3 shared papers)Ferenc Jakab (12 shared papers)Zoltán Rakonczay (2 shared papers)Balázs Papp (2 shared papers)Csaba Pál (2 shared papers)
- Journals
- Brain Research (4 papers)Viruses (2 papers)Frontiers in Pharmacology (1 paper)BMC Complementary Medicine and Therapies (1 paper)Pharmaceuticals (1 paper)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Henrietta Papp
33 papers receiving 497 citations
Peers
Comparison fields: 5 of 90
- Pharmacology 109
- Physiology 141
- Biological Psychiatry 10
- Cellular and Molecular Neuroscience 70
- Computational Theory and Mathematics 65
Countries citing papers authored by Henrietta Papp
This map shows the geographic impact of Henrietta Papp'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 Henrietta Papp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henrietta Papp more than expected).
Fields of papers citing papers by Henrietta Papp
This network shows the impact of papers produced by Henrietta Papp. 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 Henrietta Papp. The network helps show where Henrietta Papp may publish in the future.
Co-authors
The 25 scholars most cited alongside Henrietta Papp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 80 | |
| 2 | 2018 | 66 | |
| 3 | 2019 | 64 | |
| 4 | 2021 | 35 | |
| 5 | 2000 | 34 | |
| 6 | 2002 | 26 | |
| 7 | 1998 | 23 | |
| 8 | 2001 | 20 | |
| 9 | 2000 | 17 | |
| 10 | 2003 | 16 | |
| 11 | 2019 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2019 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2001 | 11 | |
| 16 | 2004 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 1998 | 6 | |
| 20 | 2003 | 5 |
About Henrietta Papp
Henrietta Papp is a scholar working on Physiology, Infectious Diseases, Pharmacology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 513 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Viral Infections and Vectors (7 papers), Computational Drug Discovery Methods (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Vector-Borne Animal Diseases (3 papers), Mosquito-borne diseases and control (3 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Pharmacology (109 citations), Physiology (141 citations), Biological Psychiatry (10 citations), Cellular and Molecular Neuroscience (70 citations) and Computational Theory and Mathematics (65 citations). Henrietta Papp has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include P. Kása, Magdolna Pákáski, I. Török, Botond Penke, Ferenc Jakab, Zoltán Rakonczay, Balázs Papp, Csaba Pál, Ákos Nyerges and Imre Kovács. Their work appears in journals such as Brain Research, Viruses, Frontiers in Pharmacology, BMC Complementary Medicine and Therapies and Pharmaceuticals.
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.