Neelja Singhal

2.6k total citations · 1 hit paper
69 papers, 1.9k citations indexed

About

Neelja Singhal is a scholar working on Molecular Biology, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, Neelja Singhal has authored 69 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Molecular Medicine and 17 papers in Infectious Diseases. Recurrent topics in Neelja Singhal's work include Antibiotic Resistance in Bacteria (18 papers), Yersinia bacterium, plague, ectoparasites research (12 papers) and Tuberculosis Research and Epidemiology (11 papers). Neelja Singhal is often cited by papers focused on Antibiotic Resistance in Bacteria (18 papers), Yersinia bacterium, plague, ectoparasites research (12 papers) and Tuberculosis Research and Epidemiology (11 papers). Neelja Singhal collaborates with scholars based in India, United States and France. Neelja Singhal's co-authors include Manish Kumar, Jugsharan Singh Virdi, Pawan Kumar Kanaujia, Deepa Bisht, Prashant Sharma, Shilpa Mohanty, J. H. Hamilton, Vishwa Mohan Katoch, Krishnamurthy Venkatesan and Ravindra Kumar and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Neelja Singhal

67 papers receiving 1.8k citations

Hit Papers

MALDI-TOF mass spectrometry: an emerging technology for m... 2015 2026 2018 2022 2015 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Neelja Singhal India 16 701 457 369 355 297 69 1.9k
Keiko Yamada Japan 26 1.2k 1.6× 147 0.3× 220 0.6× 219 0.6× 195 0.7× 133 2.3k
Bruno Pichon United Kingdom 34 1.3k 1.9× 746 1.6× 536 1.5× 1.8k 4.9× 343 1.2× 112 3.8k
Dennis Schrøder Hansen Denmark 29 506 0.7× 392 0.9× 831 2.3× 559 1.6× 1.8k 6.2× 71 3.5k
Bahram Nasr Esfahani Iran 20 272 0.4× 100 0.2× 249 0.7× 278 0.8× 266 0.9× 102 1.2k
Kouji Kimura Japan 27 515 0.7× 154 0.3× 936 2.5× 318 0.9× 1.3k 4.3× 104 2.8k
Martine P. Bos Netherlands 26 1.7k 2.4× 126 0.3× 230 0.6× 154 0.4× 365 1.2× 53 3.0k
Jeremy P. Derrick United Kingdom 34 2.8k 4.0× 150 0.3× 575 1.6× 482 1.4× 208 0.7× 119 4.3k
O. Chesneau France 25 451 0.6× 125 0.3× 93 0.3× 456 1.3× 190 0.6× 121 2.2k
Sung Joon Kim United States 24 677 1.0× 60 0.1× 152 0.4× 480 1.4× 225 0.8× 68 1.7k
Luiz Gonzaga Paula de Almeida Brazil 27 1.0k 1.4× 73 0.2× 265 0.7× 291 0.8× 385 1.3× 74 2.2k

Countries citing papers authored by Neelja Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Neelja Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neelja Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Neelja Singhal. A scholar is included among the top collaborators of Neelja Singhal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neelja Singhal. Neelja Singhal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Singh, Nirpendra, et al.. (2025). An integrated proteo-transcriptomics approach reveals novel drug targets against multidrug resistant Escherichia coli. Frontiers in Microbiology. 16. 1531739–1531739. 2 indexed citations
2.
Singhal, Neelja, et al.. (2023). β-LacFamPred: An online tool for prediction and classification of β-lactamase class, subclass, and family. Frontiers in Microbiology. 13. 1039687–1039687. 1 indexed citations
3.
Singhal, Neelja, et al.. (2023). Comprehensive genomic analysis of hypocholesterolemic probiotic Enterococcus faecium LR13 reveals unique proteins involved in cholesterol-assimilation. Frontiers in Nutrition. 10. 1082566–1082566. 5 indexed citations
4.
Singhal, Neelja, et al.. (2023). AFRbase: a database of protein mutations responsible for antifungal resistance. Bioinformatics. 39(11). 6 indexed citations
5.
Singhal, Neelja, et al.. (2022). Investigating the eukaryotic host-like SLiMs in microbial mimitopes and their potential as novel drug targets for treating autoimmune diseases. Frontiers in Microbiology. 13. 1039188–1039188. 2 indexed citations
6.
Singhal, Neelja, et al.. (2021). Investigating the OXA Variants of ESKAPE Pathogens. Antibiotics. 10(12). 1539–1539. 11 indexed citations
8.
Singhal, Neelja, et al.. (2019). Virulence-associated traits and in vitro biofilm-forming ability of Escherichia coli isolated from a major river traversing Northern India. Environmental Science and Pollution Research. 26(21). 21304–21311. 2 indexed citations
9.
Singhal, Neelja, et al.. (2019). Evaluation of Bile Salt Hydrolases, Cholesterol-Lowering Capabilities, and Probiotic Potential of Enterococcus faecium Isolated From Rhizosphere. Frontiers in Microbiology. 10. 1567–1567. 64 indexed citations
10.
Singhal, Neelja, et al.. (2019). ampD homologs in biotypes of Yersinia enterocolitica: Implications in regulation of chromosomal AmpC-type cephalosporinases. Infection Genetics and Evolution. 69. 211–215. 1 indexed citations
11.
Kumari, Bandana, et al.. (2018). Using molecular-mimicry-inducing pathways of pathogens as novel drug targets. Drug Discovery Today. 24(9). 1943–1952. 7 indexed citations
12.
Singhal, Neelja, et al.. (2018). Evaluation of Probiotic Characteristics of Lactic Acid Bacteria Isolated from Two Commercial Preparations Available in Indian Market. Indian Journal of Microbiology. 59(1). 112–115. 23 indexed citations
14.
Singhal, Neelja, Manish Kumar, Divakar Sharma, & Deepa Bisht. (2015). Comparative Protein Profiling of Intraphagosomal Expressed Proteins of Mycobacterium bovis BCG. Protein and Peptide Letters. 23(1). 51–54. 4 indexed citations
17.
Singhal, Neelja, et al.. (2010). An in vitro infection model system to study proteins expressed during interaction of mycobacterium with murine macrophages. Advances in Bioscience and Biotechnology. 1(3). 180–184. 3 indexed citations
18.
Shankar, Hari, Deepa Bisht, Prashant Sharma, et al.. (2010). A simple and rapid method of sample preparation from culture filtrate of M. tuberculosis for two-dimensional gel electrophoresis. Brazilian Journal of Microbiology. 41(2). 295–299. 2 indexed citations
19.
Bisht, Deepa, Neelja Singhal, Prashant Sharma, & K Venkatesan. (2007). An improved sample preparation method for analyzing mycobacterial proteins in two-dimensional gels. Biochemistry (Moscow). 72(6). 672–674. 17 indexed citations
20.
Singhal, Neelja, et al.. (1968). NEW DEVELOPMENTS OF WPAFB IN COMPUTERIZED SPECTRAL ANALYSIS AND ISOTOPE IDENTIFICATION.. Transactions of the American Nuclear Society. 1 indexed citations

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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