Melissa S. Nolan

1.8k citations
89 papers · 987 indexed · h-index 17

Melissa S. Nolan

81 papers receiving 959 citations

Peers

Melissa S. Nolan
Comparison fields: 5 of 113
  • Infectious Diseases 376
  • Parasitology 121
  • Public Health, Environmental and Occupational Health 505
  • Health 135
  • Modeling and Simulation 59
Replace Luciano Pamplona de Góes Cavalcanti with:
Luciano Pamplona de Góes Cavalcanti Brazil
Silvia Bino Albania
Merle M. Böhmer Germany
Daniela Michlmayr United States
María Almirón United States
Reinaldo de Menezes Martins Brazil
Daouda Sissoko France
Timothée Dub Finland
Lei Luo China
Xiaohong M. Davis United States
Melissa S. Nolan relative to Luciano Pamplona de Góes Cavalcanti Brazil Luciano Pamplona de Góes Cavalcanti's profile →
Citations per field
00.5×2.7×
Luciano Pamplona de Góes Cavalcanti · 1×
Citations per year

Countries citing papers authored by Melissa S. Nolan

Since Specialization
Citations

This map shows the geographic impact of Melissa S. Nolan'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 Melissa S. Nolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa S. Nolan more than expected).

Fields of papers citing papers by Melissa S. Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa S. Nolan. 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 Melissa S. Nolan. The network helps show where Melissa S. Nolan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Melissa S. Nolan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Melissa S. Nolan Line = papers co-authored together Melissa S. Nolan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20240
5 20243
6 20243
7 20241
8 20238
9 20231
10 20233
11 20231
12 202316
13 20218
14 20212
15 20201
16 20202
17 201821
18 2018148
19 201427
20 201230

About Melissa S. Nolan

Melissa S. Nolan is a scholar working on Parasitology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 89 papers that have together received 987 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (30 papers), Trypanosoma species research and implications (25 papers), Viral Infections and Vectors (24 papers), Research on Leishmaniasis Studies (18 papers), Vector-borne infectious diseases (11 papers), COVID-19 epidemiological studies (8 papers), Vector-Borne Animal Diseases (8 papers) and Insect symbiosis and bacterial influences (7 papers). The work is most often cited by research in Infectious Diseases (376 citations), Parasitology (121 citations) and Public Health, Environmental and Occupational Health (505 citations). Melissa S. Nolan has collaborated with scholars based in United States, Colombia and El Salvador. Frequent co-authors include Kristy O. Murray, Peter J. Hotez, Ashish Damania, Jacqueline K. Olive, Shannon E. Ronca, Anne M. Hause, Brian H. Bossak, Annette Watson, Paul A. Sandifer and Amber S. Podoll. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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.

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