Akash Das

1.3k citations
39 papers · 947 indexed · h-index 12

Impact in

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

Papers in

Akash Das

33 papers receiving 937 citations

Peers

Akash Das
Comparison fields: 5 of 89
  • Physiology 71
  • Biochemistry 107
  • Cell Biology 198
  • Molecular Biology 494
  • Physiology 165
Replace Hongwu Qian with:
Hongwu Qian China
Eliezar A. Dawidowicz United States
Wendi V. Rodrigueza United States
Joseph K. Zolnerciks United Kingdom
Stéphane Mouilleron United Kingdom
Brian P. Smart United States
Daniel P. Getman United States
Thomas Lanyon‐Hogg United Kingdom
Jaimeen D. Majmudar United States
L. Tresaugues Sweden
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-authorship network

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
#Work
1 20250
2 20252
3 20251
4 20241
5 20245
6 20241
7 20241
8 20242
9 20230
10 202314
11 20236
12 20238
13 202310
14 20227
15 201654
16 2015253
17 20153
18 200826
19 200836
20 200745

About Akash Das

Akash Das is a scholar working on Spectroscopy, Process Chemistry and Technology, Physical and Theoretical Chemistry, Oncology and Organic Chemistry, having authored 39 papers that have together received 947 indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (9 papers), Metal complexes synthesis and properties (5 papers), Luminescence and Fluorescent Materials (5 papers), Cholesterol and Lipid Metabolism (4 papers), Click Chemistry and Applications (3 papers), Ferrocene Chemistry and Applications (3 papers), Cellular transport and secretion (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Physiology (71 citations), Biochemistry (107 citations), Cell Biology (198 citations), Molecular Biology (494 citations) and Physiology (165 citations). Akash Das has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Michael S. Brown, Joseph L. Goldstein, Donald D. Anderson, Arun Radhakrishnan, Qiren Liang, Jef K. De Brabander, Feiran Lu, Lina Abi-Mosleh, Lawrence L. Rudel and Matthew A. Davis. Their work appears in journals such as New Journal of Chemistry, Cancer Research, Journal of Lipid Research, Journal of Photochemistry and Photobiology A Chemistry and eLife.

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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