Danielle Kellar
Impact in
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- Research on Leishmaniasis Studies
- Parasitology top 10%
- Parasites and Host Interactions
Papers in
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- Trypanosoma species research and implications 7
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- Research on Leishmaniasis Studies 5
- Co-authors
- Jair L. Siqueira-Neto (7 shared papers)James H. McKerrow (7 shared papers)Steven Chen (3 shared papers)Jun Yong Choi (3 shared papers)Débora Vieira (3 shared papers)William Roush (3 shared papers)Larissa M. Podust (3 shared papers)Laura‐Isobel McCall (2 shared papers)
- Journals
- PLoS neglected tropical diseases (2 papers)Journal of Medicinal Chemistry (2 papers)Antimicrobial Agents and Chemotherapy (1 paper)SLAS DISCOVERY (1 paper)Parasite Immunology (1 paper)
- Partner nations
- United StatesBrazilSwitzerland
In The Last Decade
Danielle Kellar
10 papers receiving 356 citations
Peers
Comparison fields: 5 of 60
- Public Health, Environmental and Occupational Health 192
- Parasitology 39
- Epidemiology 181
- Organic Chemistry 133
- Toxicology 15
Countries citing papers authored by Danielle Kellar
This map shows the geographic impact of Danielle Kellar'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 Danielle Kellar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Kellar more than expected).
Fields of papers citing papers by Danielle Kellar
This network shows the impact of papers produced by Danielle Kellar. 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 Danielle Kellar. The network helps show where Danielle Kellar may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Kellar, 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 | 2015 | 95 | |
| 2 | 2015 | 68 | |
| 3 | 2015 | 67 | |
| 4 | 2014 | 41 | |
| 5 | 2013 | 35 | |
| 6 | 2014 | 25 | |
| 7 | 2014 | 18 | |
| 8 | 2015 | 10 | |
| 9 | 2024 | 1 | |
| 10 | 2021 | 1 |
About Danielle Kellar
Danielle Kellar is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology, Parasitology and Organic Chemistry, having authored 10 papers that have together received 361 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (7 papers), Research on Leishmaniasis Studies (5 papers), Parasites and Host Interactions (3 papers), Synthesis and Biological Evaluation (2 papers), Glycosylation and Glycoproteins Research (1 paper), Coenzyme Q10 studies and effects (1 paper), Bioactive Compounds and Antitumor Agents (1 paper) and Folklore, Mythology, and Literature Studies (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (192 citations), Parasitology (39 citations), Epidemiology (181 citations), Organic Chemistry (133 citations) and Toxicology (15 citations). Danielle Kellar has collaborated with scholars based in United States, Brazil and Switzerland. Frequent co-authors include Jair L. Siqueira-Neto, James H. McKerrow, Steven Chen, Jun Yong Choi, Débora Vieira, William Roush, Larissa M. Podust, Laura‐Isobel McCall, Jonathan B. Johnston and Géraldine De Muylder. Their work appears in journals such as PLoS neglected tropical diseases, Journal of Medicinal Chemistry, Antimicrobial Agents and Chemotherapy, SLAS DISCOVERY and Parasite Immunology.
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.