Richa Bajpai

49 total papers · 882 total citations
21 papers, 593 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 593 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, Md. Suhail Alam† 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 581 citations

Author Peers

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

Author Last Decade Papers Cites
Richa Bajpai 420 169 135 109 41 21 593
Feng‐Pai Chou 195 0.5× 101 0.6× 86 0.6× 85 0.8× 89 2.2× 19 578
Jagmohan Hooda 296 0.7× 106 0.6× 62 0.5× 58 0.5× 21 0.5× 22 497
Yang Yu 482 1.1× 62 0.4× 184 1.4× 219 2.0× 37 0.9× 30 632
Ken‐ichiro Otsuyama 319 0.8× 50 0.3× 152 1.1× 126 1.2× 101 2.5× 33 568
Stefan Loroch 371 0.9× 76 0.4× 98 0.7× 54 0.5× 57 1.4× 21 642
Hyeong‐jun Han 423 1.0× 89 0.5× 65 0.5× 173 1.6× 86 2.1× 29 616
S. Srimatkandada 305 0.7× 47 0.3× 58 0.4× 165 1.5× 34 0.8× 15 521
Yujia Xu 419 1.0× 80 0.5× 112 0.8× 140 1.3× 102 2.5× 28 591
Songfang Wu 380 0.9× 142 0.8× 121 0.9× 63 0.6× 105 2.6× 15 619
Songbiao Zhu 365 0.9× 63 0.4× 48 0.4× 111 1.0× 28 0.7× 24 560

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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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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