Dilraj Lama

696 total citations
30 papers, 480 citations indexed

About

Dilraj Lama is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Dilraj Lama has authored 30 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Dilraj Lama's work include Cell death mechanisms and regulation (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and RNA and protein synthesis mechanisms (6 papers). Dilraj Lama is often cited by papers focused on Cell death mechanisms and regulation (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and RNA and protein synthesis mechanisms (6 papers). Dilraj Lama collaborates with scholars based in Singapore, Sweden and India. Dilraj Lama's co-authors include Ramasubbu Sankararamakrishnan, Chandra Verma, David P. Lane, Christopher J. Brown, Vivek Modi, Soo Tng Quah, Prasanna Vasudevan Iyengar, Michael Landreh, Roger W. Beuerman and Patrick Jaynes and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Nano Letters.

In The Last Decade

Dilraj Lama

30 papers receiving 478 citations

Peers

Dilraj Lama
Xuan Qin China
Kwadwo Opoku-Nsiah United States
Marina Godes United States
Mary Luz Uribe Spain
Toshihide Nishibata Japan
Rania Bassiouni United States
Bálint Szeder Hungary
Ida H. van der Meulen‐Muileman Netherlands
И. А. Замулаева Russia
Muriel C. Maurer United States
Xuan Qin China
Dilraj Lama
Citations per year, relative to Dilraj Lama Dilraj Lama (= 1×) peers Xuan Qin

Countries citing papers authored by Dilraj Lama

Since Specialization
Citations

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

Fields of papers citing papers by Dilraj Lama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dilraj Lama

This figure shows the co-authorship network connecting the top 25 collaborators of Dilraj Lama. A scholar is included among the top collaborators of Dilraj Lama 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 Dilraj Lama. Dilraj Lama 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.
Hacıosmanoğlu, Ebru, et al.. (2025). Necroptotic Suppression of Lung Cancer Cell Proliferation and Migration: A Comprehensive In Vitro and In Silico Study to Determine New Molecular Targets for Pexidartinib. Cell Biochemistry and Function. 43(3). e70068–e70068. 2 indexed citations
2.
Lama, Dilraj, Cagla Sahin, Judit Liaño-Pons, et al.. (2024). A druggable conformational switch in the c-MYC transactivation domain. Nature Communications. 15(1). 1865–1865. 8 indexed citations
3.
Aswad, Luay, et al.. (2024). AlphaFold with conformational sampling reveals the structural landscape of homorepeats. Structure. 32(11). 2160–2167.e2. 3 indexed citations
4.
Leppert, Axel, Cagla Sahin, Dilraj Lama, et al.. (2023). A “grappling hook” interaction connects self-assembly and chaperone activity of Nucleophosmin 1. PNAS Nexus. 2(2). pgac303–pgac303. 10 indexed citations
5.
Lin, Yen‐Chu, Anil K. Pillai, Tobias Cornvik, et al.. (2022). Engineering an autonomous VH domain to modulate intracellular pathways and to interrogate the eIF4F complex. Nature Communications. 13(1). 4854–4854. 4 indexed citations
6.
Spiegelberg, Diana, Pavitra Kannan, Long Jiang, et al.. (2022). The MDM2 Inhibitor Navtemadlin Arrests Mouse Melanoma Growth In Vivo and Potentiates Radiotherapy. Cancer Research Communications. 2(9). 1075–1088. 8 indexed citations
7.
Iyengar, Prasanna Vasudevan, Dilraj Lama, Tuan Zea Tan, et al.. (2022). TRAF4 Inhibits Bladder Cancer Progression by Promoting BMP/SMAD Signaling. Molecular Cancer Research. 20(10). 1516–1531. 13 indexed citations
8.
9.
Yen, Hsin‐Yung, Mark T. Agasid, Dilraj Lama, et al.. (2022). Electrospray ionization of native membrane proteins proceeds via a charge equilibration step. RSC Advances. 12(16). 9671–9680. 6 indexed citations
10.
Brown, Christopher J., Chandra Verma, David P. Lane, & Dilraj Lama. (2020). Conformational ordering of intrinsically disordered peptides for targeting translation initiation. Biochimica et Biophysica Acta (BBA) - General Subjects. 1865(1). 129775–129775. 4 indexed citations
11.
Sim, Wen Jing, Prasanna Vasudevan Iyengar, Dilraj Lama, et al.. (2019). c-Met activation leads to the establishment of a TGFβ-receptor regulatory network in bladder cancer progression. Nature Communications. 10(1). 4349–4349. 48 indexed citations
12.
13.
Ramesh, Karthik, Dilraj Lama, Kang Wei Tan, et al.. (2018). Homologous Lympho-Epithelial Kazal-type Inhibitor Domains Delay Blood Coagulation by Inhibiting Factor X and XI with Differential Specificity. Structure. 26(9). 1178–1186.e3. 7 indexed citations
14.
Lama, Dilraj, Christopher J. Brown, Thomas L. Joseph, et al.. (2016). Water-Bridge Mediates Recognition of mRNA Cap in eIF4E. Structure. 25(1). 188–194. 8 indexed citations
15.
Joshi, Himanshu, et al.. (2014). Evidence of a conserved intrinsically disordered region in the C‐terminus of the stringent response protein Rel from mycobacteria. FEBS Letters. 588(9). 1839–1849. 5 indexed citations
16.
Lama, Dilraj, Vivek Modi, & Ramasubbu Sankararamakrishnan. (2013). Behavior of Solvent-Exposed Hydrophobic Groove in the Anti-Apoptotic Bcl-XL Protein: Clues for Its Ability to Bind Diverse BH3 Ligands from MD Simulations. PLoS ONE. 8(2). e54397–e54397. 11 indexed citations
17.
Lama, Dilraj, Soo Tng Quah, Chandra Verma, et al.. (2013). Rational Optimization of Conformational Effects Induced By Hydrocarbon Staples in Peptides and their Binding Interfaces. Scientific Reports. 3(1). 3451–3451. 52 indexed citations
18.
Modi, Vivek, Dilraj Lama, & Ramasubbu Sankararamakrishnan. (2012). Relationship between helix stability and binding affinities: molecular dynamics simulations of Bfl-1/A1-binding pro-apoptotic BH3 peptide helices in explicit solvent. Journal of Biomolecular Structure and Dynamics. 31(1). 65–77. 15 indexed citations
19.
Lama, Dilraj & Ramasubbu Sankararamakrishnan. (2011). Molecular dynamics simulations of pro-apoptotic BH3 peptide helices in aqueous medium: relationship between helix stability and their binding affinities to the anti-apoptotic protein Bcl-XL. Journal of Computer-Aided Molecular Design. 25(5). 413–426. 23 indexed citations
20.
Lama, Dilraj & Ramasubbu Sankararamakrishnan. (2008). Anti‐apoptotic Bcl‐XL protein in complex with BH3 peptides of pro‐apoptotic Bak, Bad, and Bim proteins: Comparative molecular dynamics simulations. Proteins Structure Function and Bioinformatics. 73(2). 492–514. 45 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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