E. Keats Shwab
- Parasitology top 0.5%
- Epidemiology top 5%
- Molecular Biology
- Pharmacology top 2%
- Plant Science top 10%
- Co-authors
- Chunlei SuJ. P. DubeyNancy P. KellerXingquan ZhuPei ZhouJin Woo BokSolange María GennariHilda Fátima Jesus Pena
- Topics
- Toxoplasma gondii Research Studies (8 papers)Antifungal resistance and susceptibility (7 papers)Herpesvirus Infections and Treatments (5 papers)
- Cited by
- ParasitologyVirologyPharmacology
- Journals
- Proceedings of the National Academy of SciencesAntimicrobial Agents and ChemotherapyMolecular Microbiology
- Partner nations
- United StatesBrazilChina
In The Last Decade
E. Keats Shwab
23 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Parasitology 1.1k
- Epidemiology 820
- Molecular Biology 562
- Pharmacology 504
- Plant Science 324
Countries citing papers authored by E. Keats Shwab
This map shows the geographic impact of E. Keats Shwab'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 E. Keats Shwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Keats Shwab more than expected).
Fields of papers citing papers by E. Keats Shwab
This network shows the impact of papers produced by E. Keats Shwab. 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 E. Keats Shwab. The network helps show where E. Keats Shwab may publish in the future.
Co-authorship network of co-authors of E. Keats Shwab
This figure shows the co-authorship network connecting the top 25 collaborators of E. Keats Shwab. A scholar is included among the top collaborators of E. Keats Shwab 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 E. Keats Shwab. E. Keats Shwab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | Human impact on the diversity and virulence of the ubiquitous zoonotic parasite Toxoplasma gondii | 6 |
| 11 | 42 | |
| 12 | 68 | |
| 13 | 92 | |
| 14 | 20 | |
| 15 | Geographical patterns of Toxoplasma gondii genetic diversity revealed by multilocus PCR-RFLP genotypingbreakdown → | 331 |
| 16 | 217 | |
| 17 | Moving towards an integrated approach to molecular detection and identification ofToxoplasma gondiibreakdown → | 461 |
| 18 | 101 | |
| 19 | 120 | |
| 20 | 42 |
About E. Keats Shwab
E. Keats Shwab is a scholar working on Parasitology, Infectious Diseases and Biological Psychiatry, having authored 26 papers that have together received 2.0k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (8 papers), Antifungal resistance and susceptibility (7 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Parasitology (1.1k citations), Virology (294 citations) and Pharmacology (504 citations). E. Keats Shwab has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Chunlei Su, J. P. Dubey, Nancy P. Keller, Xingquan Zhu, Pei Zhou, Jin Woo Bok, Solange María Gennari, Hilda Fátima Jesus Pena, Xing‐Quan Zhu and Stefan Graessle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Antimicrobial Agents and Chemotherapy and Molecular 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.