Fatema Bhinderwala

852 total citations
23 papers, 596 citations indexed

About

Fatema Bhinderwala is a scholar working on Molecular Biology, Spectroscopy and Analytical Chemistry. According to data from OpenAlex, Fatema Bhinderwala has authored 23 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 3 papers in Spectroscopy and 3 papers in Analytical Chemistry. Recurrent topics in Fatema Bhinderwala's work include Metabolomics and Mass Spectrometry Studies (12 papers), Advanced Chemical Sensor Technologies (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Fatema Bhinderwala is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (12 papers), Advanced Chemical Sensor Technologies (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Fatema Bhinderwala collaborates with scholars based in United States, China and Spain. Fatema Bhinderwala's co-authors include Robert Powers, Concetta Dirusso, Paul D. Fey, Nishikant Wase, Pankaj K. Singh, Tammy Kielian, McKenzie K. Lehman, Vinai C. Thomas, Sujata S. Chaudhari and Kirk Foster and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Fatema Bhinderwala

21 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fatema Bhinderwala United States 14 382 96 66 50 49 23 596
Wenjing Chen China 17 665 1.7× 109 1.1× 37 0.6× 51 1.0× 62 1.3× 64 1.0k
Meng Sun China 14 280 0.7× 101 1.1× 121 1.8× 17 0.3× 23 0.5× 30 590
Nagarajan Raju India 15 573 1.5× 131 1.4× 19 0.3× 56 1.1× 59 1.2× 38 886
Satyavani Kaliamurthi China 16 294 0.8× 63 0.7× 15 0.2× 43 0.9× 36 0.7× 33 633
Ellen Hildebrandt United States 18 382 1.0× 87 0.9× 32 0.5× 45 0.9× 36 0.7× 28 936
Erica S. Lovelace United States 12 501 1.3× 116 1.2× 161 2.4× 60 1.2× 23 0.5× 15 749
Guadalupe Ayala Mexico 15 308 0.8× 95 1.0× 25 0.4× 37 0.7× 30 0.6× 27 695
Kou Motani Japan 12 437 1.1× 190 2.0× 19 0.3× 53 1.1× 49 1.0× 17 678

Countries citing papers authored by Fatema Bhinderwala

Since Specialization
Citations

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

Fields of papers citing papers by Fatema Bhinderwala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatema Bhinderwala

This figure shows the co-authorship network connecting the top 25 collaborators of Fatema Bhinderwala. A scholar is included among the top collaborators of Fatema Bhinderwala 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 Fatema Bhinderwala. Fatema Bhinderwala 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.
Bhinderwala, Fatema, et al.. (2025). Quantifying protein-drug lifetimes in human cells by 19F NMR spectroscopy. Journal of Biomolecular NMR. 79(4). 209–219.
2.
Bhinderwala, Fatema, et al.. (2024). Synthesis of 4,6‐Difluoro‐Tryptophan as a Probe for Protein 19F NMR. Advanced Synthesis & Catalysis. 366(16). 3417–3422. 3 indexed citations
3.
Guseman, Alex J., Linda J. Rennick, Sham Nambulli, et al.. (2023). Targeting spike glycans to inhibit SARS-CoV2 viral entry. Proceedings of the National Academy of Sciences. 120(38). e2301518120–e2301518120. 5 indexed citations
4.
Ambrose, Zandrea, Ralph S. Baric, Fatema Bhinderwala, et al.. (2023). Targeting spike glycans to inhibit SARS-CoV2 viral entry. UNC Libraries. 1 indexed citations
5.
Bhinderwala, Fatema, Thomas G. Smith, Darrell D. Marshall, et al.. (2022). Leveraging the HMBC to Facilitate Metabolite Identification. Analytical Chemistry. 94(47). 16308–16318. 4 indexed citations
6.
Bhinderwala, Fatema, et al.. (2022). Chemical shift variations in common metabolites. Journal of Magnetic Resonance. 345. 107335–107335. 13 indexed citations
7.
Guseman, Alex J., et al.. (2022). Visualizing Proteins in Mammalian Cells by 19F NMR Spectroscopy. Angewandte Chemie International Edition. 61(23). e202201097–e202201097. 37 indexed citations
8.
Poudel, Rachana, Fatema Bhinderwala, Martha Morton, Robert Powers, & Devin J. Rose. (2021). Metabolic profiling of historical and modern wheat cultivars using proton nuclear magnetic resonance spectroscopy. Scientific Reports. 11(1). 3080–3080. 15 indexed citations
9.
Bhinderwala, Fatema, et al.. (2021). Combination of two analytical techniques improves wine classification by Vineyard, Region, and vintage. Food Chemistry. 354. 129531–129531. 25 indexed citations
10.
Leite, Aline de Lima, et al.. (2021). Radiation exposure induces cross-species temporal metabolic changes that are mitigated in mice by amifostine. Scientific Reports. 11(1). 14004–14004. 27 indexed citations
11.
Bhinderwala, Fatema, et al.. (2020). Phosphorus NMR and Its Application to Metabolomics. Analytical Chemistry. 92(14). 9536–9545. 33 indexed citations
12.
Bhinderwala, Fatema, McKenzie K. Lehman, Vinai C. Thomas, et al.. (2019). Urease is an essential component of the acid response network of Staphylococcus aureus and is required for a persistent murine kidney infection. PLoS Pathogens. 15(1). e1007538–e1007538. 96 indexed citations
13.
Li, Xinghui, Wei Gong, Hao Wang, et al.. (2019). O-GlcNAc Transferase Suppresses Inflammation and Necroptosis by Targeting Receptor-Interacting Serine/Threonine-Protein Kinase 3. Immunity. 50(3). 576–590.e6. 146 indexed citations
14.
Bhinderwala, Fatema & Robert Powers. (2019). NMR Metabolomics Protocols for Drug Discovery. Methods in molecular biology. 2037. 265–311. 20 indexed citations
15.
Bhinderwala, Fatema, et al.. (2019). Evaluation of Multivariate Classification Models for Analyzing NMR Metabolomics Data. Journal of Proteome Research. 18(9). 3282–3294. 22 indexed citations
16.
Bhinderwala, Fatema, Shulei Lei, Darrell D. Marshall, et al.. (2019). Metabolomics Analyses from Tissues in Parkinson’s Disease. Methods in molecular biology. 1996. 217–257. 15 indexed citations
17.
Gebregiworgis, Teklab, Fatema Bhinderwala, Vinee Purohit, et al.. (2018). Insights into gemcitabine resistance and the potential for therapeutic monitoring. Metabolomics. 14(12). 156–156. 27 indexed citations
18.
Bhinderwala, Fatema, Nishikant Wase, Concetta Dirusso, & Robert Powers. (2018). Combining Mass Spectrometry and NMR Improves Metabolite Detection and Annotation. Journal of Proteome Research. 17(11). 4017–4022. 54 indexed citations
19.
Bhinderwala, Fatema, et al.. (2018). Expanding the Coverage of the Metabolome with Nitrogen-Based NMR. Analytical Chemistry. 90(7). 4521–4528. 24 indexed citations
20.
Bhinderwala, Fatema, Robert Powers, Cyrus Desouza, et al.. (2017). Nanoformulated copper/zinc superoxide dismutase exerts differential effects on glucose vs lipid homeostasis depending on the diet composition possibly via altered AMPK signaling. Translational research. 188. 10–26. 19 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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