Shagun Arora

85 total papers · 591 total citations
45 papers, 370 citations indexed

About

Shagun Arora is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Shagun Arora has authored 45 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 17 papers in Molecular Biology and 14 papers in Hematology. Recurrent topics in Shagun Arora's work include Multiple Myeloma Research and Treatments (14 papers), CAR-T cell therapy research (12 papers) and Protein Degradation and Inhibitors (6 papers). Shagun Arora is often cited by papers focused on Multiple Myeloma Research and Treatments (14 papers), CAR-T cell therapy research (12 papers) and Protein Degradation and Inhibitors (6 papers). Shagun Arora collaborates with scholars based in United States, India and France. Shagun Arora's co-authors include Simran Tandon, Chaitra S. Ujjani, Mayur Narkhede, Jeffrey L. Wolf, Nina Shah, Sandy W. Wong, Chiung‐Yu Huang, Mimi Lo, Rahul Banerjee and Alfred Chung and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Shagun Arora

42 papers receiving 356 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shagun Arora	169	127	61	55	45	45	370
Li Hou	87 0.5×	128 1.0×	35 0.6×	48 0.9×	29 0.6×	38	371
Yuan Zhuang	66 0.4×	151 1.2×	45 0.7×	49 0.9×	26 0.6×	41	362
Kavitha Godugu	62 0.4×	134 1.1×	66 1.1×	51 0.9×	19 0.4×	30	346
Bishoy El‐Aarag	89 0.5×	132 1.0×	25 0.4×	34 0.6×	14 0.3×	26	383
Terry Golombick	66 0.4×	207 1.6×	94 1.5×	17 0.3×	56 1.2×	26	421
Jun Lin	55 0.3×	174 1.4×	35 0.6×	45 0.8×	15 0.3×	25	418
Tao Yang	115 0.7×	189 1.5×	44 0.7×	33 0.6×	21 0.5×	37	441
Yu Ma	108 0.6×	142 1.1×	48 0.8×	50 0.9×	18 0.4×	34	349
Yuzhou Pang	47 0.3×	145 1.1×	36 0.6×	44 0.8×	19 0.4×	24	396
Jialin Yao	71 0.4×	212 1.7×	15 0.2×	94 1.7×	23 0.5×	40	411

Countries citing papers authored by Shagun Arora

Since Specialization

Citations

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

Fields of papers citing papers by Shagun Arora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shagun Arora

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

All Works

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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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