Richa Bajpai

902 total citations
21 papers, 602 citations indexed

About

Richa Bajpai is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Richa Bajpai has authored 21 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Hematology. Recurrent topics in Richa Bajpai's work include Multiple Myeloma Research and Treatments (3 papers), Biochemical and Molecular Research (3 papers) and Protein Degradation and Inhibitors (3 papers). Richa Bajpai is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), Biochemical and Molecular Research (3 papers) and Protein Degradation and Inhibitors (3 papers). Richa Bajpai collaborates with scholars based in United States, India and Switzerland. Richa Bajpai's co-authors include Changyong Wei, Mala Shanmugam, Shannon M. Matulis, Ganji Purnachandra Nagaraju, Sagar Lonial, Steven T. Rosen, Lawrence Boise, Ajay K. Nooka, Pushpa Agrawal and Saurabh Garg and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Oncogene.

In The Last Decade

Richa Bajpai

19 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richa Bajpai United States	10	424	169	137	113	43	21	602
Jiali Si United States	8	554 1.3×	72 0.4×	197 1.4×	67 0.6×	67 1.6×	8	752
Vivek Kumar Singh India	12	304 0.7×	64 0.4×	76 0.6×	61 0.5×	29 0.7×	20	489
Ken‐ichiro Otsuyama Japan	14	319 0.8×	47 0.3×	152 1.1×	123 1.1×	98 2.3×	33	568
Yuki Ishii Japan	17	524 1.2×	72 0.4×	74 0.5×	139 1.2×	67 1.6×	29	703
S.H. Olesen United States	13	738 1.7×	79 0.5×	139 1.0×	231 2.0×	31 0.7×	15	1000
Zaneta Zaborowska Germany	6	556 1.3×	254 1.5×	72 0.5×	43 0.4×	33 0.8×	7	782
Justin L. Anglin United States	13	700 1.7×	240 1.4×	87 0.6×	70 0.6×	31 0.7×	16	909
Yujia Xu China	14	421 1.0×	81 0.5×	112 0.8×	140 1.2×	102 2.4×	28	597
Junmei Hou China	5	302 0.7×	95 0.6×	39 0.3×	109 1.0×	40 0.9×	5	502
Mary Gleason-Guzman United States	13	589 1.4×	53 0.3×	65 0.5×	233 2.1×	62 1.4×	15	813

Countries citing papers authored by Richa Bajpai

Since Specialization

Citations

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

Fields of papers citing papers by Richa Bajpai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richa Bajpai

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

All Works

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20 of 20 papers shown

Wang, Yong‐Dong, Nicolas Koehler, Renata Mendonça Moraes, et al.. (2025). Patient-derived models of UBA5- associated encephalopathy identify defects in neurodevelopment and highlight potential therapeutic avenues. Science Translational Medicine. 17(797). eadn8417–eadn8417.

Gibbs, Eric, Mylene C. Ferrolino, Richa Bajpai, et al.. (2024). p14ARF forms meso-scale assemblies upon phase separation with NPM1. Nature Communications. 15(1). 9531–9531. 7 indexed citations

Huber, Andrew D., Jing Wu, Richa Bajpai, et al.. (2023). The F-box-only protein 44 regulates pregnane X receptor protein level by ubiquitination and degradation. Acta Pharmaceutica Sinica B. 13(11). 4523–4534. 8 indexed citations

Rosikiewicz, Wojciech, Yurii Sedkov, Andrey Tvardovskiy, et al.. (2022). The MLL3/4 complexes and MiDAC co-regulate H4K20ac to control a specific gene expression program. Life Science Alliance. 5(11). e202201572–e202201572. 6 indexed citations

Bajpai, Richa, Aditi Sharma, Abhinav Achreja, et al.. (2020). Electron transport chain activity is a predictor and target for venetoclax sensitivity in multiple myeloma. Nature Communications. 11(1). 1228–1228. 76 indexed citations

Bajpai, Richa & Mala Shanmugam. (2018). Targeting cancer metabolism through synthetic lethality-based combinatorial treatment strategies. Current Opinion in Oncology. 30(5). 338–344. 7 indexed citations

Qian, Guoqing, Weilong Yao, Shuo Zhang, et al.. (2018). Co-inhibition of BET and proteasome enhances ER stress and Bim-dependent apoptosis with augmented cancer therapeutic efficacy. Cancer Letters. 435. 44–54. 24 indexed citations

Bajpai, Richa, et al.. (2017). Seroprevalence and trend of Hepatitis B virus infection among the blood donors of North Karnataka: A Nine Year Study. Tropical Journal of Pathology and Microbiology. 3(3). 248–253. 1 indexed citations

Wei, Changyong, Richa Bajpai, Horrick Sharma, et al.. (2017). Development of GLUT4-selective antagonists for multiple myeloma therapy. European Journal of Medicinal Chemistry. 139. 573–586. 40 indexed citations

10.

Bajpai, Richa & Ganji Purnachandra Nagaraju. (2017). Specificity protein 1: Its role in colorectal cancer progression and metastasis. Critical Reviews in Oncology/Hematology. 113. 1–7. 47 indexed citations

11.

Bajpai, Richa, et al.. (2017). Study of Utilization of Blood and Blood Components in a Tertiary Care Hospital. 7(2). 9 indexed citations

12.

Bajpai, Richa, Shannon M. Matulis, Changyong Wei, et al.. (2015). Targeting glutamine metabolism in multiple myeloma enhances BIM binding to BCL-2 eliciting synthetic lethality to venetoclax. Oncogene. 35(30). 3955–3964. 85 indexed citations

13.

Mishra, Rama K., Changyong Wei, Richard C. Hresko, et al.. (2015). In Silico Modeling-based Identification of Glucose Transporter 4 (GLUT4)-selective Inhibitors for Cancer Therapy. Journal of Biological Chemistry. 290(23). 14441–14453. 57 indexed citations

14.

Bajpai, Richa, Kehinde Adekola, Irawati Kandela, et al.. (2014). Targeting the Metabolic Plasticity of Multiple Myeloma with FDA-Approved Ritonavir and Metformin. Clinical Cancer Research. 21(5). 1161–1171. 123 indexed citations

15.

Bajpai, Richa, et al.. (2012). Genome Sequence of a Novel Actinophage PIS136 Isolated from a Strain of Saccharomonospora sp. Journal of Virology. 86(17). 9552–9552. 3 indexed citations

16.

Garg, Saurabh, et al.. (2009). Redox biology of Mycobacterium tuberculosis H37Rv: protein-protein interaction between GlgB and WhiB1 involves exchange of thiol-disulfide. BMC Biochemistry. 10(1). 1–1. 58 indexed citations

17.

Shanker, Asheesh, et al.. (2007). Bioinformatically mined simple sequence repeats in UniGene of Citrus sinensis. Scientia Horticulturae. 113(4). 353–361. 31 indexed citations

18.

Chaturvedi, Sanjay, et al.. (1996). Compliance of mothers in home management of acute diarrhea.. PubMed. 33(4). 318–20. 1 indexed citations

19.

Bajpai, Richa, et al.. (1976). Effects of melatonin and different photoperiods on the estrous cycle of albino rats. Journal of Anatomical Society of India. 25(1). 54.

20.

Tiwari, Raj K., et al.. (1967). CHEMICAL EXAMINATION OF THE FIXED OIL FROM THE SEEDS OF CORDIA MYXA. Planta Medica. 15(3). 240–244. 15 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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