Amaresh Das

40 papers receiving 1.3k citations

Peers

Amaresh Das
Comparison fields: 5 of 111
  • Agronomy and Crop Science 278
  • Infectious Diseases 232
  • Epidemiology 309
  • Virology 43
  • Animal Science and Zoology 93
Replace Toshihiro Ito with:
Toshihiro Ito Japan
Zongyan Chen China
Yasuhiro Fukuda Japan
Gérard Prensier France
Jiaqiang Wu China
Rui Jin Wu China
Ying He China
Chia‐Yi Chang Taiwan
Thusitha S. Gunasekera United States
Nicky C. Caiazza United States
Amaresh Das relative to Toshihiro Ito Japan Toshihiro Ito's profile →
Citations per field
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Toshihiro Ito · 1×
Citations per year

Countries citing papers authored by Amaresh Das

Since Specialization
Citations

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

Fields of papers citing papers by Amaresh Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008239
2 2009120
3 2003116
4 200584
5 200684
6 200781
7 198972
8 200169
9 201265
10 202146
11 200845
12 202037
13 201636
14 200731
15 200628
16 201921
17 200720
18 202117
19 200317
20 201816

About Amaresh Das

Amaresh Das is a scholar working on Agronomy and Crop Science, Epidemiology, Infectious Diseases, Electronic, Optical and Magnetic Materials and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (11 papers), Influenza Virus Research Studies (7 papers), ZnO doping and properties (7 papers), Viral Infections and Immunology Research (6 papers), Ga2O3 and related materials (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Hemoglobin structure and function (4 papers) and Vector-Borne Animal Diseases (4 papers). The work is most often cited by research in Agronomy and Crop Science (278 citations), Infectious Diseases (232 citations), Epidemiology (309 citations), Virology (43 citations) and Animal Science and Zoology (93 citations). Amaresh Das has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Lars G. Ljungdahl, David L. Suarez, Erica Spackman, Donald M. Kurtz, Durga Basak, Radu Silaghi‐Dumitrescu, Eric D. Coulter, Michael T. McIntosh, Mary J. Pantin‐Jackwood and Shawn Babiuk. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, Journal of Bacteriology, Journal of Clinical Microbiology, Applied Surface Science and Avian Diseases.

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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