Beena Thomas

469 total citations
21 papers, 263 citations indexed

About

Beena Thomas is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Beena Thomas has authored 21 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Beena Thomas's work include Single-cell and spatial transcriptomics (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Receptor Mechanisms and Signaling (5 papers). Beena Thomas is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Receptor Mechanisms and Signaling (5 papers). Beena Thomas collaborates with scholars based in United States and India. Beena Thomas's co-authors include Michael Rosenblatt, Angela Wittelsberger, Dale F. Mierke, Paul Czodrowski, Byoung Kwon Lee, Paul Monaghan, Alessandra Barazza, Michael Chorev, Swati S. Bhasin and Joseph M. Alexander and has published in prestigious journals such as Blood, Biochemistry and FEBS Letters.

In The Last Decade

Beena Thomas

21 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beena Thomas United States 9 208 55 43 37 30 21 263
Simon J. Mountford Australia 10 208 1.0× 70 1.3× 87 2.0× 52 1.4× 25 0.8× 29 363
François Clerc France 10 236 1.1× 78 1.4× 35 0.8× 51 1.4× 12 0.4× 15 457
Ulrike Leurs Denmark 11 229 1.1× 25 0.5× 37 0.9× 49 1.3× 6 0.2× 20 318
Eric Kin Cheong Yau China 13 185 0.9× 26 0.5× 97 2.3× 41 1.1× 11 0.4× 21 441
Norbert Zander Germany 11 356 1.7× 21 0.4× 74 1.7× 26 0.7× 25 0.8× 15 474
Arihiro Tomura Japan 11 338 1.6× 18 0.3× 14 0.3× 40 1.1× 117 3.9× 16 486
Keisuke Kitakaze Japan 12 211 1.0× 14 0.3× 94 2.2× 35 0.9× 10 0.3× 20 370
Liesbeth Desmyter Belgium 8 250 1.2× 15 0.3× 44 1.0× 9 0.2× 11 0.4× 10 333
Percy Carter United States 4 215 1.0× 82 1.5× 10 0.2× 97 2.6× 6 0.2× 6 313

Countries citing papers authored by Beena Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Beena Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beena Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Beena Thomas. A scholar is included among the top collaborators of Beena Thomas 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 Beena Thomas. Beena Thomas 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.
Caruso, Christina, Beena Thomas, Meredith E. Fay, et al.. (2024). Less-deformable erythrocyte subpopulations biomechanically induce endothelial inflammation in sickle cell disease. Blood. 144(19). 2050–2062. 10 indexed citations
2.
Pilcher, William, Beena Thomas, Hope Mumme, et al.. (2024). Single-Cell Analysis of Debrided Diabetic Foot Ulcers Reveals Dysregulated Wound Healing Environment in Non-Hispanic Black Patients. Journal of Investigative Dermatology. 145(3). 678–690. 8 indexed citations
3.
Bhasin, Swati S., Kristen M. Jacobsen, Beena Thomas, et al.. (2024). MERTK inhibition selectively activates a DC – T-cell axis to provide anti-leukemia immunity. Leukemia. 38(12). 2685–2698. 2 indexed citations
4.
Thomas, Beena, William Pilcher, Lori Ponder, et al.. (2023). The Simple prEservatioN of Single cElls method for cryopreservation enables the generation of single-cell immune profiles from whole blood. Frontiers in Immunology. 14. 1271800–1271800. 4 indexed citations
5.
Mumme, Hope, Sunil S. Raikar, Swati S. Bhasin, et al.. (2023). Single-cell RNA sequencing distinctly characterizes the wide heterogeneity in pediatric mixed phenotype acute leukemia. Genome Medicine. 15(1). 83–83. 8 indexed citations
6.
Thomas, Beena, et al.. (2023). In vivo polyploidy induction in Dendrobium crumenatum through colchicine treatment. Journal of Applied Horticulture. 24(3). 317–321. 2 indexed citations
7.
Mumme, Hope, Swati S. Bhasin, Beena Thomas, et al.. (2022). A Single Cell Atlas and Interactive Web-Resource of Pediatric Cancers and Healthy Bone Marrow. Blood. 140(Supplement 1). 2278–2279. 2 indexed citations
8.
Bhasin, Swati S., Kristen M. Jacobsen, Beena Thomas, et al.. (2022). Abstract A35: MERTK inhibition induces an anti-leukemia dendritic cell – T cell axis while TYRO3 inhibition protects by a separate mechanism. Cancer Immunology Research. 10(12_Supplement). A35–A35. 1 indexed citations
9.
Mumme, Hope, Swati S. Bhasin, Beena Thomas, et al.. (2021). Pediatric Single Cell Cancer Atlas: An Integrative Web-Based Resource for Single Cell Transcriptome Data from Pediatric Leukemias. Blood. 138(Supplement 1). 3488–3488. 3 indexed citations
10.
Thomas, Beena, Swati S. Bhasin, Debasree Sarkar, et al.. (2020). Single Cell Transcriptomics Revealed AML and Non-AML Cell Clusters Relevant to Relapse and Remission in Pediatric AML. Blood. 136(Supplement 1). 24–25. 6 indexed citations
11.
12.
Thomas, Beena, et al.. (2008). Conformational Changes in the Parathyroid Hormone Receptor Associated with Activation by Agonist. Molecular Endocrinology. 22(5). 1154–1162. 13 indexed citations
13.
Thomas, Beena, et al.. (2008). PTH and PTH Antagonist Induce Different Conformational Changes in the PTHR1 Receptor. Journal of Bone and Mineral Research. 24(5). 925–934. 6 indexed citations
14.
Monaghan, Paul, et al.. (2008). Mapping Peptide Hormone−Receptor Interactions Using a Disulfide-Trapping Approach. Biochemistry. 47(22). 5889–5895. 27 indexed citations
15.
Thomas, Beena, et al.. (2007). Cysteine at Position 217 in the Intracellular Loop 1 Plays a Critical Role in Human PTH Receptor Type 1 Membrane Translocation and Function. Journal of Bone and Mineral Research. 22(4). 609–616. 5 indexed citations
16.
Wittelsberger, Angela, Beena Thomas, Dale F. Mierke, & Michael Rosenblatt. (2006). Methionine acts as a “magnet” in photoaffinity crosslinking experiments. FEBS Letters. 580(7). 1872–1876. 95 indexed citations
17.
Wittelsberger, Angela, Beena Thomas, Byoung Kwon Lee, et al.. (2006). The Mid-Region of Parathyroid Hormone (1−34) Serves as a Functional Docking Domain in Receptor Activation. Biochemistry. 45(7). 2027–2034. 41 indexed citations
18.
Gan, Lu, Joseph M. Alexander, Angela Wittelsberger, Beena Thomas, & Michael Rosenblatt. (2005). Large-scale purification and characterization of human parathyroid hormone-1 receptor stably expressed in HEK293S GnTI− cells. Protein Expression and Purification. 47(1). 296–302. 13 indexed citations
19.
Thomas, Beena & Thomas Thekkumkara. (2004). Glucose Mediates Transcriptional Repression of the Human Angiotensin Type-1 Receptor Gene: Role for a NovelCis-acting Element. Molecular Biology of the Cell. 15(10). 4347–4355. 6 indexed citations
20.

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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