Anil Chawla

4.6k citations
31 papers · 3.2k indexed · h-index 28

Impact in

Papers in

    • Cellular transport and secretion 10
    • Adipose Tissue and Metabolism 5
    • Calcium signaling and nucleotide metabolism 4

Anil Chawla

31 papers receiving 3.2k citations

Peers

Anil Chawla
Comparison fields: 5 of 104
  • Cell Biology 1.2k
  • Biochemistry 450
  • Molecular Biology 2.3k
  • Physiology 145
  • Physiology 770
Replace Francesc Tebar with:
Francesc Tebar Spain
Isabel Mérida Spain
Junko Sasaki Japan
Alex W. Cohen United States
Gursant Kular United Kingdom
Shaun G. Weller United States
Christopher Belham United Kingdom
Haidi Yang China
Corinne M. Linardic United States
Costin N. Antonescu Canada
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Citations per field
00.5×1.6×
Francesc Tebar · 1×
Citations per year

Countries citing papers authored by Anil Chawla

Since Specialization
Citations

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

Fields of papers citing papers by Anil Chawla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201649
2 201541
3
Techno-economical Analysis of Biodiesel Production using Castor Oil: An Indian Approach
20141
4 201229
5 201040
6 201036
7 201062
8 200935
9 200837
10 2007259
11 200332
12 2002122
13 2002111
14 2001101
15 200153
16 200139
17 2000119
18 200065
19 1997362
20
Exofacial epitope-tagged glucose transporter chimeras reveal C-terminal sequences governing cellular localization
19931

About Anil Chawla

Anil Chawla is a scholar working on Cell Biology, Physiology, Biochemistry, Molecular Biology and Cancer Research, having authored 31 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Metabolism, Diabetes, and Cancer (8 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Lipid metabolism and biosynthesis (5 papers), Adipose Tissue and Metabolism (5 papers), Pancreatic function and diabetes (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Calcium signaling and nucleotide metabolism (4 papers). The work is most often cited by research in Cell Biology (1.2k citations), Biochemistry (450 citations), Molecular Biology (2.3k citations), Physiology (145 citations) and Physiology (770 citations). Anil Chawla has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Michael Czech, Silvia Corvera, Jes K. Klarlund, John Holik, Joanne Buxton, Susan Hayes, Adı́lson Guilherme, Vishwajeet Puri, Srijana Ranjit and Joseph V. Virbasius. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, The Journal of Cell Biology, Molecular Biology of the Cell and Journal of Lipid Research.

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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