A.S. Pacsa
Impact in
- Immunology top 5%
- Reproductive System and Pregnancy
- Immune Cell Function and Interaction
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
- Immunology 14
- Reproductive System and Pregnancy 12
- Immune Cell Function and Interaction 3
- Epidemiology 16
- Cytomegalovirus and herpesvirus research 8
- Preterm Birth and Chorioamnionitis 4
- Pneumonia and Respiratory Infections 2
- Co-authors
- Júlia Szekeres‐Barthó (9 shared papers)G. Falkay (2 shared papers)Á. Török (2 shared papers)U. C. Chaturvedi (5 shared papers)E.A. Elbishbishi (4 shared papers)P. Várga (1 shared paper)Rachna Nagar (2 shared papers)Rajeev Agarwal (2 shared papers)
In The Last Decade
A.S. Pacsa
46 papers receiving 863 citations
Peers
Comparison fields: 5 of 73
- Immunology 386
- Endocrinology 41
- Public Health, Environmental and Occupational Health 169
- Epidemiology 153
- Infectious Diseases 64
Countries citing papers authored by A.S. Pacsa
This map shows the geographic impact of A.S. Pacsa'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 A.S. Pacsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.S. Pacsa more than expected).
Fields of papers citing papers by A.S. Pacsa
This network shows the impact of papers produced by A.S. Pacsa. 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 A.S. Pacsa. The network helps show where A.S. Pacsa may publish in the future.
Co-authors
The 25 scholars most cited alongside A.S. Pacsa, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 152 | |
| 2 | 1999 | 92 | |
| 3 | 1985 | 64 | |
| 4 | 1981 | 60 | |
| 5 | 1986 | 57 | |
| 6 | 2000 | 50 | |
| 7 | 1985 | 44 | |
| 8 | 1983 | 43 | |
| 9 | 1981 | 33 | |
| 10 | 1977 | 30 | |
| 11 | 2007 | 23 | |
| 12 | 1999 | 21 | |
| 13 | 2001 | 20 | |
| 14 | 1983 | 17 | |
| 15 | 1997 | 17 | |
| 16 | 2003 | 17 | |
| 17 | 2005 | 17 | |
| 18 | 2007 | 17 | |
| 19 | 1985 | 15 | |
| 20 | 1981 | 14 |
About A.S. Pacsa
A.S. Pacsa is a scholar working on Immunology, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Hepatology, having authored 46 papers that have together received 948 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (12 papers), Cytomegalovirus and herpesvirus research (8 papers), Mosquito-borne diseases and control (4 papers), Preterm Birth and Chorioamnionitis (4 papers), Immune Cell Function and Interaction (3 papers), Parvovirus B19 Infection Studies (2 papers), Pneumonia and Respiratory Infections (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Immunology (386 citations), Endocrinology (41 citations), Public Health, Environmental and Occupational Health (169 citations), Epidemiology (153 citations) and Infectious Diseases (64 citations). A.S. Pacsa has collaborated with scholars based in Kuwait, Hungary and India. Frequent co-authors include Júlia Szekeres‐Barthó, G. Falkay, Á. Török, U. C. Chaturvedi, E.A. Elbishbishi, P. Várga, Rachna Nagar, Rajeev Agarwal, Levente Emödy and Abu Salim Mustafa. Their work appears in journals such as American Journal of Reproductive Immunology, The Lancet, Journal of Reproductive Immunology, Obstetrical & Gynecological Survey and Journal of Clinical Microbiology.
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.