Michelle Samuel Chattaragada

534 total citations
7 papers, 379 citations indexed

About

Michelle Samuel Chattaragada is a scholar working on Molecular Biology, Cancer Research and Biotechnology. According to data from OpenAlex, Michelle Samuel Chattaragada has authored 7 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Biotechnology. Recurrent topics in Michelle Samuel Chattaragada's work include S100 Proteins and Annexins (4 papers), Cancer Research and Treatments (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Michelle Samuel Chattaragada is often cited by papers focused on S100 Proteins and Annexins (4 papers), Cancer Research and Treatments (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Michelle Samuel Chattaragada collaborates with scholars based in Italy, United States and Taiwan. Michelle Samuel Chattaragada's co-authors include Francesco Novelli, Moitza Principe, Paola Cappello, Chiara Riganti, Michela Capello, Sammy Ferri‐Borgogno, Cecilia Roux, Weidong Zhou, Emanuel F. Petricoin and Simone Borgoni and has published in prestigious journals such as Cancer Research, Oncogene and Journal of Hematology & Oncology.

In The Last Decade

Michelle Samuel Chattaragada

7 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Samuel Chattaragada Italy 5 256 160 105 61 48 7 379
Bryan C. Nikolai United States 8 288 1.1× 143 0.9× 120 1.1× 54 0.9× 44 0.9× 12 433
Xun‐Xun Wan China 9 331 1.3× 165 1.0× 149 1.4× 39 0.6× 50 1.0× 9 458
Camilla Avivi Israel 5 242 0.9× 138 0.9× 218 2.1× 68 1.1× 41 0.9× 6 409
André Schultz United States 6 358 1.4× 205 1.3× 211 2.0× 65 1.1× 92 1.9× 12 601
Matteo Curtarello Italy 12 296 1.2× 181 1.1× 121 1.2× 38 0.6× 56 1.2× 25 462
Giovanni Perconti Italy 11 366 1.4× 244 1.5× 158 1.5× 118 1.9× 55 1.1× 13 562
Aman Wang China 13 344 1.3× 133 0.8× 162 1.5× 51 0.8× 73 1.5× 21 449
Hugh Gannon United States 9 370 1.4× 92 0.6× 163 1.6× 79 1.3× 21 0.4× 14 474
Xiangzhan Kong China 10 223 0.9× 129 0.8× 144 1.4× 80 1.3× 70 1.5× 21 433
Wenna Jiang China 12 201 0.8× 124 0.8× 169 1.6× 124 2.0× 56 1.2× 23 400

Countries citing papers authored by Michelle Samuel Chattaragada

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Samuel Chattaragada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle Samuel Chattaragada. 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 Michelle Samuel Chattaragada. The network helps show where Michelle Samuel Chattaragada may publish in the future.

Co-authorship network of co-authors of Michelle Samuel Chattaragada

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

All Works

7 of 7 papers shown
1.
Principe, Moitza, Simone Borgoni, Mariafrancesca Cascione, et al.. (2017). Alpha-enolase (ENO1) controls alpha v/beta 3 integrin expression and regulates pancreatic cancer adhesion, invasion, and metastasis. Journal of Hematology & Oncology. 10(1). 16–16. 110 indexed citations
2.
Chattaragada, Michelle Samuel, Chiara Riganti, Moitza Principe, et al.. (2017). FAM49B, a novel regulator of mitochondrial function and integrity that suppresses tumor metastasis. Oncogene. 37(6). 697–709. 50 indexed citations
3.
Capello, Michela, Sammy Ferri‐Borgogno, Chiara Riganti, et al.. (2015). Targeting the Warburg effect in cancer cells through ENO1 knockdown rescues oxidative phosphorylation and induces growth arrest. Oncotarget. 7(5). 5598–5612. 118 indexed citations
4.
Caorsi, Cristiana, Elena Niccolai, Michela Capello, et al.. (2015). Protein disulfide isomerase A3–specific Th1 effector cells infiltrate colon cancer tissue of patients with circulating anti–protein disulfide isomerase A3 autoantibodies. Translational research. 171. 17–28.e2. 21 indexed citations
5.
Capello, Michela, Sammy Ferri‐Borgogno, Moitza Principe, et al.. (2015). Abstract B49: Alpha-enolase knockdown reprograms metabolism and points out targetable pathways to counteract PDA growth. Cancer Research. 75(13_Supplement). B49–B49. 1 indexed citations
6.
Principe, Moitza, Patrizia Ceruti, Neng‐Yao Shih, et al.. (2015). Targeting of surface alpha-enolase inhibits the invasiveness of pancreatic cancer cells. Oncotarget. 6(13). 11098–11113. 78 indexed citations
7.
Capello, Michela, Moitza Principe, Michelle Samuel Chattaragada, et al.. (2013). Abstract 1889: Can the moonlighting glycolytic enzyme α-enolase be a therapeutic target in pancreatic cancer.. Cancer Research. 73(8_Supplement). 1889–1889. 1 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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