Anup Agarwal

31 papers receiving 955 citations

Anup Agarwal's Hit Papers

Convalescent plasma in the management of moderate covid-19 in adults in India: open label phase II multicentre randomised controlled trial (PLACID Trial) 2020 · 402 citations
4020+2+4Years since publication100200300400

Peers

Anup Agarwal
Comparison fields: 5 of 134
  • Modeling and Simulation 203
  • Infectious Diseases 571
  • Obstetrics and Gynecology 99
  • Neurology 159
  • Radiology, Nuclear Medicine and Imaging 117
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Citations per year

Countries citing papers authored by Anup Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Anup Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Convalescent plasma in the management of moderate covid-19 in adults in India: open label phase II multicentre randomised controlled trial (PLACID Trial)
Hit paper breakdown →
2020402
2 2020179
3 2020152
4 201631
5 202031
6 200925
7 202124
8 200619
9 200718
10 202015
11 201713
12 202113
13 200610
14 20187
15
Cryptosporidium and HIV.
19987
16
Water, Sanitation, Health: For All: Prospects for the International Drinking Water Supply and Sanitation Decade, 1981-90
19815
17 20185
18
ABC: A Simple Explicit Congestion Control Protocol for Wireless Networks.
20194
19 20224
20 20084

About Anup Agarwal

Anup Agarwal is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Computer Networks and Communications and Modeling and Simulation, having authored 31 papers that have together received 991 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (7 papers), COVID-19 epidemiological studies (4 papers), Child Nutrition and Water Access (3 papers), COVID-19 Clinical Research Studies (3 papers), Network Traffic and Congestion Control (2 papers), Analog and Mixed-Signal Circuit Design (2 papers), COVID-19 Pandemic Impacts (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (203 citations), Infectious Diseases (571 citations), Obstetrics and Gynecology (99 citations), Neurology (159 citations) and Radiology, Nuclear Medicine and Imaging (117 citations). Anup Agarwal has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Pranab Chatterjee, Aparna Mukherjee, Pankaj Malhotra, Tarun Bhatnagar, Deepak Kumar, Swarup Sarkar, Raman R. Gangakhedkar, Nimalan Arinaminpathy, Manoj Murhekar and Tarun Bhatnagar. Their work appears in journals such as The Indian Journal of Medical Research, Ultrasonics, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, IEEE Transactions on Vehicular Technology and PEDIATRICS.

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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