Sonali Narang

930 total citations
9 papers, 326 citations indexed

About

Sonali Narang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, Sonali Narang has authored 9 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Hematology. Recurrent topics in Sonali Narang's work include Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Sonali Narang is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Sonali Narang collaborates with scholars based in United States, India and Denmark. Sonali Narang's co-authors include Aristotelis Tsirigos, Iannis Aifantis, Xufeng Chen, Hua Zhou, Eric Wang, Andreas Kloetgen, Theodore Sakellaropoulos, Andrea López, Denis E. Reyna and Yoon Sing Yap and has published in prestigious journals such as Nature Communications, Cancer Research and Cell stem cell.

In The Last Decade

Sonali Narang

9 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sonali Narang United States	6	255	134	50	40	32	9	326
Haiming Xu United States	9	523 2.1×	248 1.9×	45 0.9×	42 1.1×	46 1.4×	19	604
Bernhard Heilmeier Germany	10	250 1.0×	121 0.9×	48 1.0×	44 1.1×	47 1.5×	15	355
Giacomo Volpe United Kingdom	11	191 0.7×	90 0.7×	37 0.7×	29 0.7×	39 1.2×	23	273
Erika L. Artinger United States	5	350 1.4×	217 1.6×	29 0.6×	26 0.7×	47 1.5×	7	429
Gue Su Chang United States	8	196 0.8×	120 0.9×	47 0.9×	41 1.0×	31 1.0×	13	288
Marco De Dominici United States	10	188 0.7×	107 0.8×	37 0.7×	84 2.1×	50 1.6×	17	293
Petra Zeisberger Germany	5	268 1.1×	99 0.7×	58 1.2×	36 0.9×	63 2.0×	11	349
Višnja Radulović Sweden	5	261 1.0×	92 0.7×	35 0.7×	37 0.9×	44 1.4×	9	336
Esther Tijchon Netherlands	9	218 0.9×	87 0.6×	33 0.7×	64 1.6×	51 1.6×	15	339
Jennifer Jaques Netherlands	7	290 1.1×	149 1.1×	77 1.5×	30 0.8×	41 1.3×	8	361

Countries citing papers authored by Sonali Narang

Since Specialization

Citations

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

Fields of papers citing papers by Sonali Narang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonali Narang

This figure shows the co-authorship network connecting the top 25 collaborators of Sonali Narang. A scholar is included among the top collaborators of Sonali Narang 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 Sonali Narang. Sonali Narang 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.

Narang, Sonali, Yohana Ghebrechristos, Nikki A. Evensen, et al.. (2024). Clonal evolution of the 3D chromatin landscape in patients with relapsed pediatric B-cell acute lymphoblastic leukemia. Nature Communications. 15(1). 7425–7425. 2 indexed citations

2.

Narang, Sonali, Nikki A. Evensen, Joanna Pierro, et al.. (2023). NSD2 E1099K drives relapse in pediatric acute lymphoblastic leukemia by disrupting 3D chromatin organization. Genome biology. 24(1). 64–64. 5 indexed citations

3.

Carcamo, Saul, Christie B. Nguyen, Elena Grossi, et al.. (2022). Altered BAF occupancy and transcription factor dynamics in PBAF-deficient melanoma. Cell Reports. 39(1). 110637–110637. 26 indexed citations

4.

Wang, Eric, Hua Zhou, Bettina Nadorp, et al.. (2021). Surface antigen-guided CRISPR screens identify regulators of myeloid leukemia differentiation. Cell stem cell. 28(4). 718–731.e6. 35 indexed citations

5.

Narang, Sonali, et al.. (2021). Coping to Covid-19 in Uttar Pradesh, India: Evidence from NSSO 76<sup>th</sup> Round Data. Current Urban Studies. 9(2). 206–217. 5 indexed citations

6.

Humphries, Ashley C., Sonali Narang, & Marek Mlodzik. (2020). Mutations associated with human neural tube defects display disrupted planar cell polarity in Drosophila. eLife. 9. 20 indexed citations

7.

Evensen, Nikki A., Teena Bhatla, Sonali Narang, et al.. (2020). Evolution of the Epigenetic Landscape in Childhood B Acute Lymphoblastic Leukemia and Its Role in Drug Resistance. Cancer Research. 80(23). 5189–5202. 15 indexed citations

8.

Evensen, Nikki A., Julia A. Meyer, Daniel Newman, et al.. (2020). Feasibility of monitoring peripheral blood to detect emerging clones in children with acute lymphoblastic leukemia^†. Pediatric Blood & Cancer. 67(7). e28306–e28306. 4 indexed citations

9.

Chen, Xufeng, Christina Glytsou, Hua Zhou, et al.. (2019). Targeting Mitochondrial Structure Sensitizes Acute Myeloid Leukemia to Venetoclax Treatment. Cancer Discovery. 9(7). 890–909. 214 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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