Aparup Das

3.5k citations
136 papers · 1.8k · h-index 24

Impact in

Papers in

Aparup Das

131 papers receiving 1.8k citations

Peers

Aparup Das
Comparison fields: 5 of 105
  • Public Health, Environmental and Occupational Health 1.3k
  • Parasitology 282
  • Infectious Diseases 261
  • Modeling and Simulation 59
  • Endocrinology 58
Replace Musa Jawara with:
Musa Jawara Gambia
Christopher J. Drakeley United Kingdom
Vas Dev India
Mahamadou A. Théra Mali
Jimee Hwang United States
Abdoulaye K. Koné Mali
Sébastien Briolant France
Frank Mosha Tanzania
Daouda Ndiaye Senegal
William O. Rogers United States
Aparup Das relative to Musa Jawara Gambia Musa Jawara's profile →
Citations per field
00.5×1.6×
Musa Jawara · 1×
Citations per year

Countries citing papers authored by Aparup Das

Since Specialization
Citations

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

Fields of papers citing papers by Aparup Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011114
2 200978
3 200469
4 201468
5 201053
6 201847
7 202043
8 201540
9 202137
10 201235
11 201134
12 201834
13 202031
14 201331
15 201830
16 201328
17 200827
18 202027
19 202027
20 201427

About Aparup Das

Aparup Das is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Infectious Diseases, Genetics and Molecular Biology, having authored 136 papers that have together received 1.8k indexed citations. Recurring topics across this work include Malaria Research and Control (84 papers), Mosquito-borne diseases and control (60 papers), Vector-borne infectious diseases (20 papers), Genetic diversity and population structure (19 papers), Viral Infections and Vectors (13 papers), Computational Drug Discovery Methods (10 papers), Hemoglobinopathies and Related Disorders (7 papers) and Drug Transport and Resistance Mechanisms (7 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.3k citations), Parasitology (282 citations), Infectious Diseases (261 citations), Modeling and Simulation (59 citations) and Endocrinology (58 citations). Aparup Das has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Gauri Awasthi, Huguette Gaelle Ngassa Mbenda, Praveen K. Bharti, Aditya Prasad Dash, Sujata Mohanty, Wolfgang Stephan, Vineeta Singh, Veena Pande, Bhavna Gupta and Himanshu Jayswar. Their work appears in journals such as Malaria Journal, Infection Genetics and Evolution, Trends in Parasitology, Parasitology Research and Memórias do Instituto Oswaldo Cruz.

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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