Natalia Gomez‐Escobar
- Parasitology top 0.5%
- Parasites and Host Interactions 6
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms 3
- Small Animals top 1%
- Infectious Diseases top 5%
- Parasitic Diseases Research and Treatment 9
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- Malaria Research and Control 8
- Mosquito-borne diseases and control 4
- Research on Leishmaniasis Studies 3
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- Complement system in diseases 4
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- Parasite Biology and Host Interactions 3
- Co-authors
- Rick M. MaizelsMatthew D. TaylorJudith E. AllenAdam BalicMeera G. NairWilliam F. GregoryDavid J. ConwayJanice Murray
- Cited by
- ParasitologyAgingSmall Animals
- Journals
- The Journal of Infectious Diseases (3 papers)PLoS Genetics (2 papers)Infection and Immunity (2 papers)
- Partner nations
- United KingdomGambiaUnited States
In The Last Decade
Natalia Gomez‐Escobar
24 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Parasitology 1.1k
- Aging 83
- Small Animals 293
- Infectious Diseases 472
- Public Health, Environmental and Occupational Health 697
Countries citing papers authored by Natalia Gomez‐Escobar
This map shows the geographic impact of Natalia Gomez‐Escobar'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 Natalia Gomez‐Escobar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Gomez‐Escobar more than expected).
Fields of papers citing papers by Natalia Gomez‐Escobar
This network shows the impact of papers produced by Natalia Gomez‐Escobar. 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 Natalia Gomez‐Escobar. The network helps show where Natalia Gomez‐Escobar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natalia Gomez‐Escobar, 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 | 2022 | 1 | |
| 2 | 2016 | 8 | |
| 3 | 2012 | 118 | |
| 4 | 2012 | 51 | |
| 5 | 2010 | 110 | |
| 6 | 2010 | 57 | |
| 7 | 2009 | 35 | |
| 8 | 2009 | 75 | |
| 9 | 2009 | 36 | |
| 10 | 2009 | 165 | |
| 11 | 2007 | 5 | |
| 12 | 2006 | 23 | |
| 13 | 2005 | 36 | |
| 14 | Helminth parasites – masters of regulationbreakdown → | 2004 | 690 |
| 15 | 2002 | 30 | |
| 16 | 2001 | 138 | |
| 17 | 2001 | 80 | |
| 18 | 1998 | 83 | |
| 19 | 1997 | 40 | |
| 20 | 1994 | 27 |
About Natalia Gomez‐Escobar
Natalia Gomez‐Escobar is a scholar working on Aging, Parasitology and Infectious Diseases, having authored 24 papers that have together received 2.0k indexed citations. Recurring topics across this work include Parasitic Diseases Research and Treatment (9 papers), Malaria Research and Control (8 papers), Parasites and Host Interactions (6 papers), Mosquito-borne diseases and control (4 papers), Complement system in diseases (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Research on Leishmaniasis Studies (3 papers) and Parasite Biology and Host Interactions (3 papers). The work is most often cited by research in Parasitology (1.1k citations), Aging (83 citations) and Small Animals (293 citations). Natalia Gomez‐Escobar has collaborated with scholars based in United Kingdom, Gambia and United States. Frequent co-authors include Rick M. Maizels, Matthew D. Taylor, Judith E. Allen, Adam Balic, Meera G. Nair, William F. Gregory, David J. Conway, Janice Murray, Michael Walther and Alfred Amambua‐Ngwa. Their work appears in journals such as The Journal of Infectious Diseases, PLoS Genetics, Infection and Immunity, Molecular and Biochemical Parasitology and Gene.
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.