Akash Das

1.4k citations
44 papers · 1.0k · h-index 13

Impact in

  • Physiology top 5%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism
    • Lipid metabolism and biosynthesis

Papers in

Akash Das

36 papers receiving 1.0k citations

Peers

Akash Das
Comparison fields: 5 of 98
  • Physiology 69
  • Biochemistry 101
  • Cell Biology 195
  • Molecular Biology 490
  • Physiology 168
Replace Hongwu Qian with:
Hongwu Qian China
Aimee E. Christian United States
Marie‐Pierre Golinelli‐Cohen France
Wendi V. Rodrigueza United States
Oliver H. Weiergräber Germany
Joseph K. Zolnerciks United Kingdom
Stéphane Mouilleron United Kingdom
Pete Dunten United States
Brian P. Smart United States
Yaxue Zhao China
Akash Das relative to Hongwu Qian China Hongwu Qian's profile →
Citations per field
00.5×1.5×2.3×
Hongwu Qian · 1×
Citations per year

Countries citing papers authored by Akash Das

Since Specialization
Citations

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

Fields of papers citing papers by Akash Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014277
2 2015261
3 201395
4 201657
5 200746
6 200837
7 202133
8 200826
9 202321
10 202318
11 202315
12 202115
13 202413
14 202310
15 202410
16 20238
17 20227
18 20247
19 20246
20 20236

About Akash Das

Akash Das is a scholar working on Materials Chemistry, Spectroscopy, Organic Chemistry, Molecular Biology and Oncology, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (10 papers), Luminescence and Fluorescent Materials (6 papers), Metal complexes synthesis and properties (5 papers), Cholesterol and Lipid Metabolism (4 papers), Photochemistry and Electron Transfer Studies (4 papers), Cellular transport and secretion (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Physiology (69 citations), Biochemistry (101 citations), Cell Biology (195 citations), Molecular Biology (490 citations) and Physiology (168 citations). Akash Das has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Joseph L. Goldstein, Michael S. Brown, Donald D. Anderson, Arun Radhakrishnan, Feiran Lu, Jef K. De Brabander, Qiren Liang, Lina Abi-Mosleh, Lawrence L. Rudel and Tapan Kumar Mondal. Their work appears in journals such as New Journal of Chemistry, Journal of Lipid Research, Physical Chemistry Chemical Physics, Cancer Research and Journal of Photochemistry and Photobiology A Chemistry.

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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