Purba Singh

1.0k total citations
9 papers, 222 citations indexed

About

Purba Singh is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Purba Singh has authored 9 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Genetics. Recurrent topics in Purba Singh's work include Advanced Breast Cancer Therapies (3 papers), Cancer-related Molecular Pathways (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Purba Singh is often cited by papers focused on Advanced Breast Cancer Therapies (3 papers), Cancer-related Molecular Pathways (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Purba Singh collaborates with scholars based in United States, France and South Korea. Purba Singh's co-authors include Matthew J. Ellis, Alexander B. Saltzman, Doug W. Chan, Anna Malovannaya, Mei Leng, Mohammed S. Razzaque, Parash Parajuli, Céline Prunier, Azeddine Atfi and Michael T. Lewis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Cancer Research.

In The Last Decade

Purba Singh

8 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Purba Singh United States	5	136	72	51	43	36	9	222
Daniel R. Radiloff United States	8	209 1.5×	92 1.3×	64 1.3×	43 1.0×	17 0.5×	11	327
Sophie Bartsch Germany	10	175 1.3×	64 0.9×	53 1.0×	118 2.7×	43 1.2×	14	336
Michelle Shen United States	7	95 0.7×	77 1.1×	41 0.8×	52 1.2×	8 0.2×	15	228
Katja Helenius Finland	5	276 2.0×	119 1.7×	89 1.7×	48 1.1×	38 1.1×	6	383
Maxime Parisotto Canada	8	140 1.0×	46 0.6×	60 1.2×	54 1.3×	41 1.1×	17	242
Mitchell I. Parker United States	10	145 1.1×	61 0.8×	55 1.1×	35 0.8×	13 0.4×	15	294
Seung Ho Choi South Korea	11	123 0.9×	93 1.3×	42 0.8×	57 1.3×	8 0.2×	26	322
Maya Ridinger United States	9	155 1.1×	118 1.6×	46 0.9×	51 1.2×	21 0.6×	41	302
Clara Reglero Spain	8	211 1.6×	79 1.1×	33 0.6×	16 0.4×	24 0.7×	14	286
Ahlima Roumane United Kingdom	5	233 1.7×	62 0.9×	114 2.2×	25 0.6×	21 0.6×	7	294

Countries citing papers authored by Purba Singh

Since Specialization

Citations

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

Fields of papers citing papers by Purba Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Purba Singh

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

Jaehnig, Eric J., Meenakshi Anurag, Jonathan T. Lei, et al.. (2025). NF1-depleted ER ⁺ breast cancers are differentially sensitive to CDK4/6 inhibitors. Science Translational Medicine. 17(813). eadq5492–eadq5492.

Saltzman, Alexander B., Doug W. Chan, Matthew V. Holt, et al.. (2024). Kinase inhibitor pulldown assay (KiP) for clinical proteomics. Clinical Proteomics. 21(1). 3–3. 3 indexed citations

Gou, Xuxu, Meenakshi Anurag, Jonathan T. Lei, et al.. (2023). Kinome Reprogramming Is a Targetable Vulnerability in ESR1 Fusion-Driven Breast Cancer. Cancer Research. 83(19). 3237–3251. 4 indexed citations

Pandey, Swaroop Kumar, et al.. (2019). PCN264 ESTIMATING THE BURDEN OF SALIVARY GLAND CANCER IN NORDIC COUNTRIES: A PREDICTIVE ANALYSIS USING TIME SERIES ANALYSIS METHODS. Value in Health. 22. S487–S487. 1 indexed citations

Parajuli, Parash, Purba Singh, Zhe Wang, et al.. (2019). TGIF 1 functions as a tumor suppressor in pancreatic ductal adenocarcinoma. The EMBO Journal. 38(13). e101067–e101067. 21 indexed citations

Saltzman, Alexander B., Mei Leng, Purba Singh, et al.. (2018). gpGrouper: A Peptide Grouping Algorithm for Gene-Centric Inference and Quantitation of Bottom-Up Proteomics Data. Molecular & Cellular Proteomics. 17(11). 2270–2283. 57 indexed citations

Parajuli, Parash, Audrey Loumaye, Purba Singh, et al.. (2018). Twist1 Activation in Muscle Progenitor Cells Causes Muscle Loss Akin to Cancer Cachexia. Developmental Cell. 45(6). 712–725.e6. 46 indexed citations

Matsunuma, Ryoichi, Doug W. Chan, Beom‐Jun Kim, et al.. (2018). DPYSL3 modulates mitosis, migration, and epithelial-to-mesenchymal transition in claudin-low breast cancer. Proceedings of the National Academy of Sciences. 115(51). E11978–E11987. 40 indexed citations

Haricharan, Svasti, Purba Singh, Kimberly R. Holloway, et al.. (2017). Loss of MutL Disrupts CHK2-Dependent Cell-Cycle Control through CDK4/6 to Promote Intrinsic Endocrine Therapy Resistance in Primary Breast Cancer. Cancer Discovery. 7(10). 1168–1183. 50 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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