Ajit Singh

9 papers receiving 412 citations

Ajit Singh's Hit Papers

New colorimetric method for the quantitative estimation of phospholipids without acid digestion 1973 · 434 citations
4340+17+35Years since publication100200300400

Peers

Ajit Singh
Comparison fields: 5 of 86
  • Biochemistry 92
  • Nutrition and Dietetics 136
  • Biochemistry 46
  • Aquatic Science 44
  • Clinical Biochemistry 28
Replace R. K. Raheja with:
R. K. Raheja India
Xavier Pelletier France
B. L. Walker Canada
John L Iverson United States
Karla L. Roehrig United States
J. Jayaraman India
A. C. Fogerty Australia
Nabil el Jaber-Vazdekis Spain
Anthony H.M. Terpstra Netherlands
Reiko Nakayama Japan
Ajit Singh relative to R. K. Raheja India R. K. Raheja's profile →
Citations per field
00.5×1.5×
R. K. Raheja · 1×
Citations per year

Countries citing papers authored by Ajit Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Ajit Singh, 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 Ajit Singh Line = papers co-authored together Ajit Singh links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
New colorimetric method for the quantitative estimation of phospholipids without acid digestion
Hit paper breakdown →
1973434
2 19678
3 19986
4 20234
5 19744
6
Production of sugars from rice straw
19884
7 19882
8 19731
9
Isolation of cellulolytic mutants of thermotolerant fungus Chaetomium cellulolyticum ATCC 32319.
19851
10 20250
11
Single Cell Protein Production from Sugar Beet Pulp
19770
12
HPLC: A VERSATILE CHROMATOGRAPHIC APPROACH USED FOR QUALITATIVE AND QUANTITATIVE PURPOSES- A REVIEW
20110
13 20250

About Ajit Singh

Ajit Singh is a scholar working on Biomedical Engineering, Molecular Biology, Nutrition and Dietetics, Biotechnology and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 464 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (4 papers), Enzyme Production and Characterization (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Digital Media Forensic Detection (2 papers), Plant-Microbe Interactions and Immunity (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Soybean genetics and cultivation (1 paper) and Dermatological and Skeletal Disorders (1 paper). The work is most often cited by research in Biochemistry (92 citations), Nutrition and Dietetics (136 citations), Biochemistry (46 citations), Aquatic Science (44 citations) and Clinical Biochemistry (28 citations). Ajit Singh has collaborated with scholars based in India. Frequent co-authors include I. S. Bhatia, R. K. Raheja, Charanjit Kaur, Gurpreet Singh Dhillon, Mohit Kwatra, Ajaib Singh, Rangil Singh, Devinder Mohan Thappa, Santanu Dutta and Vikrant Arya. Their work appears in journals such as Journal of Lipid Research, Plant Disease, Journal of Dairy Science, Pediatric Dermatology and Physiologia Plantarum.

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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