Nsa Dada

922 citations
25 papers · 506 · h-index 13

Impact in

Papers in

Nsa Dada

22 papers receiving 501 citations

Peers

Nsa Dada
Comparison fields: 5 of 63
  • Insect Science 260
  • Public Health, Environmental and Occupational Health 340
  • Parasitology 60
  • Infectious Diseases 86
  • Modeling and Simulation 15
Replace Marceline F. Finda with:
Marceline F. Finda Tanzania
Norma Padilla United States
Richard M. Oxborough United Kingdom
El Hadji Amadou Niang Senegal
K Gunasekaran India
Joseph Chabi Ghana
Hugo Bugoro Australia
Jacklyn Wong United States
Nayana Gunathilaka Sri Lanka
Hélène Hiwat French Guiana
Nsa Dada relative to Marceline F. Finda Tanzania Marceline F. Finda's profile →
Citations per field
00.5×2.8×
Marceline F. Finda · 1×
Citations per year

Countries citing papers authored by Nsa Dada

Since Specialization
Citations

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

Fields of papers citing papers by Nsa Dada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nsa Dada. 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 Nsa Dada. The network helps show where Nsa Dada may publish in the future.

Co-authors

The 25 scholars most cited alongside Nsa Dada, 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 Nsa Dada Line = papers co-authored together Nsa Dada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201896
2 201460
3 201949
4 201746
5 201235
6 202132
7 202132
8 202126
9 201325
10 201121
11 202119
12 202216
13 201714
14 20198
15 20237
16 20216
17 20244
18 20244
19 20202
20 20232

About Nsa Dada

Nsa Dada is a scholar working on Public Health, Environmental and Occupational Health, Insect Science, Molecular Biology, Sociology and Political Science and Infectious Diseases, having authored 25 papers that have together received 506 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (20 papers), Malaria Research and Control (9 papers), Insect symbiosis and bacterial influences (8 papers), Insect Resistance and Genetics (5 papers), Dengue and Mosquito Control Research (4 papers), Parasites and Host Interactions (3 papers), Child Nutrition and Water Access (3 papers) and Invertebrate Immune Response Mechanisms (2 papers). The work is most often cited by research in Insect Science (260 citations), Public Health, Environmental and Occupational Health (340 citations), Parasitology (60 citations), Infectious Diseases (86 citations) and Modeling and Simulation (15 citations). Nsa Dada has collaborated with scholars based in United States, Norway and South Africa. Frequent co-authors include Audrey Lenhart, Mili Sheth, Hans J. Overgaard, Razak Seidu, Jesús Pinto, Thor‐Axel Stenström, Kelly A. Liebman, Estelle Jumas‐Bilak, Sylvie Manguin and Thor Axel Stenström. Their work appears in journals such as BMC Genomics, Parasites & Vectors, Malaria Journal, Scientific Reports and The ISME Journal.

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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