Pallavi Bhattaram

2.3k total citations
33 papers, 1.7k citations indexed

About

Pallavi Bhattaram is a scholar working on Molecular Biology, Cancer Research and Rheumatology. According to data from OpenAlex, Pallavi Bhattaram has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Rheumatology. Recurrent topics in Pallavi Bhattaram's work include Cellular transport and secretion (6 papers), interferon and immune responses (5 papers) and Lipid Membrane Structure and Behavior (5 papers). Pallavi Bhattaram is often cited by papers focused on Cellular transport and secretion (6 papers), interferon and immune responses (5 papers) and Lipid Membrane Structure and Behavior (5 papers). Pallavi Bhattaram collaborates with scholars based in United States, Mexico and India. Pallavi Bhattaram's co-authors include Véronique Lefebvre, Alfredo Penzo‐Méndez, Peter Dy, Bogdan Dumitriu, Yu‐San Han, Qiuqing Wang, Unnikrishnan M. Chandrasekharan, Weihuan Wang, Lai Wang and R. Tracy Ballock and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Pallavi Bhattaram

32 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pallavi Bhattaram United States 17 1.1k 428 379 376 188 33 1.7k
William N. Pappano United States 24 1.7k 1.6× 238 0.6× 409 1.1× 394 1.0× 360 1.9× 29 2.4k
Branka Dabovic United States 23 1.1k 1.0× 168 0.4× 693 1.8× 306 0.8× 191 1.0× 32 2.0k
Takeshi Moriishi Japan 22 1.2k 1.1× 285 0.7× 194 0.5× 230 0.6× 99 0.5× 42 1.7k
James O’Sullivan United Kingdom 22 1.4k 1.3× 198 0.5× 510 1.3× 166 0.4× 141 0.8× 40 2.0k
Xinjun He United States 20 971 0.9× 216 0.5× 359 0.9× 495 1.3× 165 0.9× 25 1.4k
Kyu Sang Joeng United States 16 1.2k 1.1× 175 0.4× 423 1.1× 219 0.6× 112 0.6× 27 1.7k
Yuqiong Hu China 13 1.1k 1.0× 237 0.6× 100 0.3× 445 1.2× 148 0.8× 20 1.6k
Keijo Luukko Norway 26 1.4k 1.3× 187 0.4× 376 1.0× 159 0.4× 260 1.4× 52 2.2k
Timothy F. Day United States 11 1.7k 1.6× 530 1.2× 591 1.6× 249 0.7× 165 0.9× 12 2.3k
Alfredo Penzo‐Méndez United States 15 1.1k 1.0× 111 0.3× 347 0.9× 306 0.8× 228 1.2× 16 1.6k

Countries citing papers authored by Pallavi Bhattaram

Since Specialization
Citations

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

Fields of papers citing papers by Pallavi Bhattaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pallavi Bhattaram

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

All Works

20 of 20 papers shown
1.
Gautam, Surabhi, et al.. (2025). The distinct transcriptomic signature of the resolution phase fibroblast-like synoviocytes supports endothelial cell dysfunction. Communications Biology. 8(1). 837–837. 1 indexed citations
2.
Bhattaram, Pallavi, Shelly Abramowicz, Hicham Drissi, et al.. (2024). Delivery of a Jagged1-PEG-MAL hydrogel with pediatric human bone cells regenerates critically sized craniofacial bone defects. eLife. 13. 2 indexed citations
3.
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5.
Gautam, Surabhi, et al.. (2023). MyD88 dimerization inhibitor ST2825 targets the aggressiveness of synovial fibroblasts in rheumatoid arthritis patients. Arthritis Research & Therapy. 25(1). 180–180. 11 indexed citations
6.
Bhattaram, Pallavi, et al.. (2022). Targeting inflammasome-dependent mechanisms as an emerging pharmacological approach for osteoarthritis therapy. iScience. 25(12). 105548–105548. 19 indexed citations
7.
Gangishetti, Umesh, et al.. (2020). Chronic exposure to TNF reprograms cell signaling pathways in fibroblast-like synoviocytes by establishing long-term inflammatory memory. Scientific Reports. 10(1). 20297–20297. 13 indexed citations
8.
Giovannone, Adrian J., et al.. (2020). The Habc domain of syntaxin 3 is a ubiquitin binding domain. Scientific Reports. 10(1). 21350–21350. 3 indexed citations
9.
Bhattaram, Pallavi & Kyle M. Jones. (2019). Regulation of fibroblast-like synoviocyte transformation by transcription factors in arthritic diseases. Biochemical Pharmacology. 165. 145–151. 15 indexed citations
10.
Giovannone, Adrian J., Christine Winterstein, Pallavi Bhattaram, et al.. (2018). Soluble syntaxin 3 functions as a transcriptional regulator. Journal of Biological Chemistry. 293(15). 5478–5491. 13 indexed citations
11.
Giovannone, Adrian J., et al.. (2017). Monoubiquitination of syntaxin 3 leads to retrieval from the basolateral plasma membrane and facilitates cargo recruitment to exosomes. Molecular Biology of the Cell. 28(21). 2843–2853. 30 indexed citations
12.
Lefebvre, Véronique & Pallavi Bhattaram. (2016). SOXC Genes and the Control of Skeletogenesis. Current Osteoporosis Reports. 14(1). 32–38. 26 indexed citations
13.
Bhattaram, Pallavi & Unnikrishnan M. Chandrasekharan. (2016). The joint synovium: A critical determinant of articular cartilage fate in inflammatory joint diseases. Seminars in Cell and Developmental Biology. 62. 86–93. 104 indexed citations
14.
Lefebvre, Véronique & Pallavi Bhattaram. (2015). SoxC transcription factors in skeletogenesis and cartilage differentiation. Osteoarthritis and Cartilage. 23. A23–A23. 1 indexed citations
15.
Bhattaram, Pallavi, Alfredo Penzo‐Méndez, Kenji Kato, et al.. (2014). SOXC proteins amplify canonical WNT signaling to secure nonchondrocytic fates in skeletogenesis. The Journal of Cell Biology. 207(5). 657–671. 53 indexed citations
16.
Mead, Timothy J., Qiuqing Wang, Pallavi Bhattaram, et al.. (2013). A far-upstream (−70 kb) enhancer mediates Sox9 auto-regulation in somatic tissues during development and adult regeneration. Nucleic Acids Research. 41(8). 4459–4469. 71 indexed citations
17.
Dy, Peter, Weihuan Wang, Pallavi Bhattaram, et al.. (2012). Sox9 Directs Hypertrophic Maturation and Blocks Osteoblast Differentiation of Growth Plate Chondrocytes. Developmental Cell. 22(3). 597–609. 302 indexed citations
18.
Lefebvre, Véronique & Pallavi Bhattaram. (2010). Vertebrate Skeletogenesis. Current topics in developmental biology. 90. 291–317. 140 indexed citations
19.
Lefebvre, Véronique, Bogdan Dumitriu, Alfredo Penzo‐Méndez, Yu‐San Han, & Pallavi Bhattaram. (2007). Control of cell fate and differentiation by Sry-related high-mobility-group box (Sox) transcription factors. The International Journal of Biochemistry & Cell Biology. 39(12). 2195–2214. 373 indexed citations
20.
Bhattaram, Pallavi, et al.. (2002). A Synthetic Strategy for on-Resin Amino Acid Specific Multiple Fatty Acid Acylation of Peptides. Protein and Peptide Letters. 9(5). 411–417. 12 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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