Shilpa Narina

444 total citations
9 papers, 244 citations indexed

About

Shilpa Narina is a scholar working on Molecular Biology, Microbiology and Epidemiology. According to data from OpenAlex, Shilpa Narina has authored 9 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Microbiology and 2 papers in Epidemiology. Recurrent topics in Shilpa Narina's work include Reproductive tract infections research (3 papers), Gut microbiota and health (3 papers) and Single-cell and spatial transcriptomics (2 papers). Shilpa Narina is often cited by papers focused on Reproductive tract infections research (3 papers), Gut microbiota and health (3 papers) and Single-cell and spatial transcriptomics (2 papers). Shilpa Narina collaborates with scholars based in United States. Shilpa Narina's co-authors include Shondra M. Pruett‐Miller, Jacques Ravel, Michael France, Bing Ma, Marisa Actis, Zoran Ranković, Michael S. Humphrys, Li Fu, Hongqiu Yang and Pawel Gajer and has published in prestigious journals such as Hepatology, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Shilpa Narina

8 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shilpa Narina United States	6	132	99	49	30	25	9	244
Ashwini Maratha Ireland	7	122 0.9×	52 0.5×	5 0.1×	25 0.8×	22 0.9×	8	274
Mirian Galliote Morale Brazil	9	212 1.6×	88 0.9×	12 0.2×	93 3.1×	15 0.6×	17	361
Ji‐Han Xia China	11	179 1.4×	70 0.7×	7 0.1×	14 0.5×	63 2.5×	20	365
Niva Yacov Israel	10	156 1.2×	74 0.7×	7 0.1×	20 0.7×	41 1.6×	13	366
M Bartalini Italy	11	70 0.5×	59 0.6×	31 0.6×	66 2.2×	23 0.9×	16	352
Pranay Ramteke India	8	311 2.4×	65 0.7×	180 3.7×	82 2.7×	32 1.3×	10	486
Tanvir Hossain United States	7	100 0.8×	39 0.4×	4 0.1×	18 0.6×	25 1.0×	21	218
Ziad Alnadjim United States	6	155 1.2×	44 0.4×	8 0.2×	64 2.1×	130 5.2×	9	360
Ayesha Dhillon-LaBrooy Germany	6	172 1.3×	37 0.4×	9 0.2×	31 1.0×	10 0.4×	7	313

Countries citing papers authored by Shilpa Narina

Since Specialization

Citations

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

Fields of papers citing papers by Shilpa Narina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilpa Narina

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

All Works

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9 of 9 papers shown

1.

Loughran, Allister J., et al.. (2025). Rapid and robust validation of pooled CRISPR knockout screens using CelFi. Scientific Reports. 15(1). 13358–13358.

2.

Jarusiewicz, Jamie, Satoshi Yoshimura, Marisa Actis, et al.. (2024). Development of an Orally Bioavailable LCK PROTAC Degrader as a Potential Therapeutic Approach to T-Cell Acute Lymphoblastic Leukemia. Journal of Medicinal Chemistry. 67(14). 11868–11884. 3 indexed citations

3.

Narina, Shilpa, Jon P. Connelly, & Shondra M. Pruett‐Miller. (2023). High-Throughput Analysis of CRISPR-Cas9 Editing Outcomes in Cell and Animal Models Using CRIS.py. Methods in molecular biology. 2631. 155–182. 11 indexed citations

4.

Jarusiewicz, Jamie, Satoshi Yoshimura, Anand Mayasundari, et al.. (2023). Phenyl Dihydrouracil: An Alternative Cereblon Binder for PROTAC Design. ACS Medicinal Chemistry Letters. 14(2). 141–145. 44 indexed citations

5.

Quarato, Giovanni, Fabien Llambi, Cliff Guy, et al.. (2022). Ca2+-mediated mitochondrial inner membrane permeabilization induces cell death independently of Bax and Bak. Cell Death and Differentiation. 29(7). 1318–1334. 38 indexed citations

6.

France, Michael, Li Fu, Hongqiu Yang, et al.. (2022). Insight into the ecology of vaginal bacteria through integrative analyses of metagenomic and metatranscriptomic data. Genome biology. 23(1). 66–66. 63 indexed citations

7.

France, Michael, et al.. (2022). Complete Genome Sequences of Ezakiella coagulans C0061C1 and Fenollaria massiliensis C0061C2. Microbiology Resource Announcements. 11(7). e0044422–e0044422. 3 indexed citations

8.

France, Michael, Shilpa Narina, Elias McComb, et al.. (2020). Complete Genome Sequences of Six Lactobacillus iners Strains Isolated from the Human Vagina. Microbiology Resource Announcements. 9(20). 10 indexed citations

9.

O’Hare, Elizabeth A., Rongze Yang, Laura M. Yerges‐Armstrong, et al.. (2016). TM6SF2 rs58542926 impacts lipid processing in liver and small intestine. Hepatology. 65(5). 1526–1542. 72 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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