Sarju J. Patel

935 total citations
9 papers, 729 citations indexed

About

Sarju J. Patel is a scholar working on Nutrition and Dietetics, Hematology and Molecular Biology. According to data from OpenAlex, Sarju J. Patel has authored 9 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nutrition and Dietetics, 5 papers in Hematology and 4 papers in Molecular Biology. Recurrent topics in Sarju J. Patel's work include Trace Elements in Health (7 papers), Iron Metabolism and Disorders (5 papers) and Drug Transport and Resistance Mechanisms (2 papers). Sarju J. Patel is often cited by papers focused on Trace Elements in Health (7 papers), Iron Metabolism and Disorders (5 papers) and Drug Transport and Resistance Mechanisms (2 papers). Sarju J. Patel collaborates with scholars based in United States, Russia and China. Sarju J. Patel's co-authors include Caroline C. Philpott, José Argüello, Olga Protchenko, Moon‐Suhn Ryu, John D. Helmann, Tamil S. Anthonymuthu, Valerian E. Kagan, Andrew M. Lamade, Yulia Y. Tyurina and Andrew A. Amoscato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Microbiology.

In The Last Decade

Sarju J. Patel

9 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarju J. Patel United States 9 338 238 237 187 176 9 729
Minoo Shakoury‐Elizeh United States 11 552 1.6× 253 1.1× 197 0.8× 250 1.3× 146 0.8× 13 1.0k
Avery G. Frey United States 8 232 0.7× 195 0.8× 63 0.3× 109 0.6× 48 0.3× 9 456
Alfredo Colonna Italy 17 303 0.9× 122 0.5× 67 0.3× 180 1.0× 47 0.3× 30 882
Rong Yao China 17 510 1.5× 159 0.7× 83 0.4× 27 0.1× 95 0.5× 50 980
Lucía Ramos-Alonso Spain 11 280 0.8× 95 0.4× 47 0.2× 96 0.5× 31 0.2× 17 554
Huaiping Yuan United States 15 424 1.3× 65 0.3× 78 0.3× 93 0.5× 36 0.2× 17 976
Shashi Chillappagari Germany 13 217 0.6× 140 0.6× 190 0.8× 25 0.1× 37 0.2× 21 581
Qi Han China 16 596 1.8× 44 0.2× 503 2.1× 127 0.7× 402 2.3× 43 1.4k
Richard Coffey United States 8 116 0.3× 226 0.9× 114 0.5× 360 1.9× 44 0.3× 12 657
Peter R. Ganz Canada 16 304 0.9× 54 0.2× 76 0.3× 274 1.5× 134 0.8× 35 805

Countries citing papers authored by Sarju J. Patel

Since Specialization
Citations

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

Fields of papers citing papers by Sarju J. Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarju J. Patel. 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 Sarju J. Patel. The network helps show where Sarju J. Patel may publish in the future.

Co-authorship network of co-authors of Sarju J. Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Sarju J. Patel. A scholar is included among the top collaborators of Sarju J. Patel 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 Sarju J. Patel. Sarju J. Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Patel, Sarju J., et al.. (2021). The iron chaperone and nucleic acid–binding activities of poly(rC)-binding protein 1 are separable and independently essential. Proceedings of the National Academy of Sciences. 118(25). 52 indexed citations
2.
Bayır, Hülya, Tamil S. Anthonymuthu, Yulia Y. Tyurina, et al.. (2020). Achieving Life through Death: Redox Biology of Lipid Peroxidation in Ferroptosis. Cell chemical biology. 27(4). 387–408. 218 indexed citations
3.
Philpott, Caroline C., Sarju J. Patel, & Olga Protchenko. (2020). Management versus miscues in the cytosolic labile iron pool: The varied functions of iron chaperones. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1867(11). 118830–118830. 66 indexed citations
4.
Patel, Sarju J., Avery G. Frey, Sooraj Achar, et al.. (2019). A PCBP1–BolA2 chaperone complex delivers iron for cytosolic [2Fe–2S] cluster assembly. Nature Chemical Biology. 15(9). 872–881. 106 indexed citations
5.
Philpott, Caroline C., et al.. (2017). Cytosolic iron chaperones: Proteins delivering iron cofactors in the cytosol of mammalian cells. Journal of Biological Chemistry. 292(31). 12764–12771. 104 indexed citations
6.
Patel, Sarju J., Brianne E. Lewis, Jarukit E. Long, et al.. (2016). Fine-tuning of Substrate Affinity Leads to Alternative Roles of Mycobacterium tuberculosis Fe2+-ATPases. Journal of Biological Chemistry. 291(22). 11529–11539. 37 indexed citations
7.
Pi, Hualiang, Sarju J. Patel, José Argüello, & John D. Helmann. (2016). The Listeria monocytogenes Fur‐regulated virulence protein FrvA is an Fe(II) efflux P1B4‐type ATPase. Molecular Microbiology. 100(6). 1066–1079. 49 indexed citations
8.
Argüello, José, Sarju J. Patel, & Julia Quintana. (2016). Bacterial Cu+-ATPases: models for molecular structure–function studies. Metallomics. 8(9). 906–914. 24 indexed citations
9.
Guan, Guohua, et al.. (2015). PfeT, a P1B4‐type ATPase, effluxes ferrous iron and protects Bacillus subtilis against iron intoxication. Molecular Microbiology. 98(4). 787–803. 73 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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