Sujata Bupp

1.4k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Sujata Bupp is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Sujata Bupp has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Reproductive Medicine. Recurrent topics in Sujata Bupp's work include Receptor Mechanisms and Signaling (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and RNA and protein synthesis mechanisms (2 papers). Sujata Bupp is often cited by papers focused on Receptor Mechanisms and Signaling (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and RNA and protein synthesis mechanisms (2 papers). Sujata Bupp collaborates with scholars based in United States. Sujata Bupp's co-authors include Nathaniel Heintz, Eric F. Schmidt, Joseph Doyle, Tanya R. Stevens, Prerana Shrestha, Shiaoching Gong, Paul Greengard, Guojun Ma, Martin L. Doughty and Joseph D. Dougherty and has published in prestigious journals such as Cell, Neuron and PLoS ONE.

In The Last Decade

Sujata Bupp

9 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Application of a Translational Profiling Approach for the Comparative Analysis of CNS Cell Types

2008 679 citations Joseph Doyle, Joseph D. Dougherty et al. Cell profile →

Peers

Sujata Bupp

MB

CMN

NEURO

DN

GENET

Ariane Sharif France

Katarzyna Kalita Poland

Sigrun Nestel Germany

Rodrigo Herrera‐Molina Chile

Neela Patel United States

Norbert Chauvet France

Sara A. Brumbaugh United States

Kevin J. O’Donovan United States

Youri Adolfs Netherlands

Filippo Casoni Italy

Ariane Sharif France

Sujata Bupp

377 ×0.6

MB

239 ×0.7

CMN

118 ×0.7

NEURO

246 ×2.1

DN

56 ×0.6

GENET

Citations per year, relative to Sujata Bupp Sujata Bupp (= 1×) peers Ariane Sharif

Countries citing papers authored by Sujata Bupp

Since Specialization

Citations

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

Fields of papers citing papers by Sujata Bupp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujata Bupp

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

Bupp, Sujata, et al.. (2021). A novel murine in vivo model for acute hereditary angioedema attacks. Scientific Reports. 11(1). 15924–15924. 2 indexed citations

2.

Gildea, Derek, Sujata Bupp, Jens Lichtenberg, et al.. (2015). Necdin is a breast cancer metastasis suppressor that regulates the transcription of c-Myc. Oncotarget. 6(31). 31557–31568. 12 indexed citations

3.

Gallardo, Viviana, Gaurav K. Varshney, Sujata Bupp, et al.. (2015). Phenotype-driven chemical screening in zebrafish for compounds that inhibit collective cell migration identifies multiple pathways potentially involved in metastatic invasion. Disease Models & Mechanisms. 8(6). 565–576. 38 indexed citations

4.

Szabova, Ludmila, Sujata Bupp, Deborah B. Householder, et al.. (2014). Pathway-Specific Engineered Mouse Allograft Models Functionally Recapitulate Human Serous Epithelial Ovarian Cancer. PLoS ONE. 9(4). e95649–e95649. 15 indexed citations

5.

Katz, Richard J., Ian Toma, Ranyang Li, et al.. (2013). Aspirin insensitive thrombophilia: Transcript profiling of blood identifies platelet abnormalities and HLA restriction. Gene. 520(2). 131–138. 7 indexed citations

6.

Szabova, Ludmila, Chaoying Yin, Sujata Bupp, et al.. (2012). Perturbation of Rb, p53, and Brca1 or Brca2 Cooperate in Inducing Metastatic Serous Epithelial Ovarian Cancer. Cancer Research. 72(16). 4141–4153. 98 indexed citations

7.

Doyle, Joseph, Joseph D. Dougherty, Myriam Heiman, et al.. (2009). Application of a Translational Profiling Approach for the Comparative Analysis of CNS Cell Types. Cell. 139(5). 1022–1022. 19 indexed citations

8.

Drenan, Ryan M., Sharon R. Grady, Paul Whiteaker, et al.. (2008). In Vivo Activation of Midbrain Dopamine Neurons via Sensitized, High-Affinity α6∗ Nicotinic Acetylcholine Receptors. Neuron. 60(1). 123–136. 168 indexed citations

9.

Doyle, Joseph, Joseph D. Dougherty, Myriam Heiman, et al.. (2008). Application of a Translational Profiling Approach for the Comparative Analysis of CNS Cell Types. Cell. 135(4). 749–762. 679 indexed citations breakdown →

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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