James L. LaBelle

1.6k total citations
47 papers, 1.0k citations indexed

About

James L. LaBelle is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, James L. LaBelle has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 15 papers in Oncology and 15 papers in Immunology. Recurrent topics in James L. LaBelle's work include RNA Interference and Gene Delivery (15 papers), Cell death mechanisms and regulation (7 papers) and Immune Cell Function and Interaction (7 papers). James L. LaBelle is often cited by papers focused on RNA Interference and Gene Delivery (15 papers), Cell death mechanisms and regulation (7 papers) and Immune Cell Function and Interaction (7 papers). James L. LaBelle collaborates with scholars based in United States, Italy and Tunisia. James L. LaBelle's co-authors include Matthew Tirrell, Handan Acar, Samanvaya Srivastava, Mathew R. Schnorenberg, Loren D. Walensky, Robert L. Truitt, John C. Barrett, Gregory H. Bird, Eun Ji Chung and Jeffrey Ting and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

James L. LaBelle

45 papers receiving 995 citations

Peers

James L. LaBelle
Karolyn A. Oetjen United States
Roberta E. Burden United Kingdom
Kazunori Toma Japan
Mary J. Bossard United States
Jonathan D. Ashley United States
Olaf Kinstler United States
Liya Roudaia United States
Fiona H. Tan Australia
Shabnum Patel United States
Jason Cameron Denmark
Karolyn A. Oetjen United States
James L. LaBelle
Citations per year, relative to James L. LaBelle James L. LaBelle (= 1×) peers Karolyn A. Oetjen

Countries citing papers authored by James L. LaBelle

Since Specialization
Citations

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

Fields of papers citing papers by James L. LaBelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James L. LaBelle. 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 James L. LaBelle. The network helps show where James L. LaBelle may publish in the future.

Co-authorship network of co-authors of James L. LaBelle

This figure shows the co-authorship network connecting the top 25 collaborators of James L. LaBelle. A scholar is included among the top collaborators of James L. LaBelle 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 James L. LaBelle. James L. LaBelle 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.
Aboelella, Nada S., et al.. (2024). Venetoclax Induces BCL-2–Dependent Treg to TH17 Plasticity to Enhance the Antitumor Efficacy of Anti–PD-1 Checkpoint Blockade. Cancer Immunology Research. 12(8). 1074–1089. 3 indexed citations
2.
Gong, He, Theodore Karrison, Wendy Stock, et al.. (2024). FLT3 inhibitor maintenance after allogeneic stem cell transplantation in FLT3-mutated acute myeloid leukemia (AML) patients. Annals of Translational Medicine. 12(3). 49–49.
3.
Tian, Yu, Vlad Nicolaescu, Aslan Mansurov, et al.. (2024). The Role of Structural Flexibility in Hydrocarbon‐Stapled Peptides Designed to Block Viral Infection via Human ACE2 Mimicry. Peptide Science. 116(6). 2 indexed citations
4.
Saygin, Caner, Girish Venkataraman, Vijayalakshmi Ananthanarayanan, et al.. (2023). Dual Targeting of Apoptotic and Signaling Pathways in T-Lineage Acute Lymphoblastic Leukemia. Clinical Cancer Research. 29(16). 3151–3161. 10 indexed citations
5.
Schnorenberg, Mathew R., Elyse A. Watkins, Yu Tian, et al.. (2023). Targeted Polymersome Delivery of a Stapled Peptide for Drugging the Tumor Protein p53:BCL-2-Family Axis in Diffuse Large B-Cell Lymphoma. ACS Nano. 17(23). 23374–23390. 8 indexed citations
6.
Gong, He, Theodore Karrison, Wendy Stock, et al.. (2023). Eltrombopag Is a Safe and Effective Agent to Treat Thrombocytopenia after Allogeneic Hematopoietic Stem Cell Transplantation (allo-HSCT). Transplantation and Cellular Therapy. 29(2). S142–S143.
7.
Schnorenberg, Mathew R., Yu Tian, Gregory H. Bird, et al.. (2022). Inhibition of FOXP3 by stapled alpha-helical peptides dampens regulatory T cell function. Proceedings of the National Academy of Sciences. 119(42). e2209044119–e2209044119. 11 indexed citations
8.
Harris, Katherine E., James L. LaBelle, & Michael R. Bishop. (2021). Current Status of CAR T Cell Therapy for Leukemias. Current Treatment Options in Oncology. 22(7). 62–62. 12 indexed citations
9.
Blazar, Bruce R., et al.. (2021). Venetoclax imparts distinct cell death sensitivity and adaptivity patterns in T cells. Cell Death and Disease. 12(11). 1005–1005. 13 indexed citations
10.
11.
Katz, Samuel G., et al.. (2020). Loss of BIM in T cells results in BCL-2 family BH3-member compensation but incomplete cell death sensitivity normalization. APOPTOSIS. 25(3-4). 247–260. 7 indexed citations
12.
Schnorenberg, Mathew R., Joseph A. Bellairs, Ravand Samaeekia, et al.. (2019). Activating the Intrinsic Pathway of Apoptosis Using BIM BH3 Peptides Delivered by Peptide Amphiphiles with Endosomal Release. Materials. 12(16). 2567–2567. 13 indexed citations
13.
LaBelle, James L., et al.. (2018). Flow Cytometry-Based Detection and Analysis of BCL-2 Family Proteins and Mitochondrial Outer Membrane Permeabilization (MOMP). Methods in molecular biology. 1877. 77–91. 10 indexed citations
14.
Schnorenberg, Mathew R., et al.. (2018). Synthesis and Purification of Homogeneous Lipid-Based Peptide Nanocarriers by Overcoming Phospholipid Ester Hydrolysis. ACS Omega. 3(10). 14144–14150. 11 indexed citations
15.
Acar, Handan, Jeffrey Ting, Samanvaya Srivastava, James L. LaBelle, & Matthew Tirrell. (2017). Molecular engineering solutions for therapeutic peptide delivery. Chemical Society Reviews. 46(21). 6553–6569. 111 indexed citations
16.
LaBelle, James L., et al.. (2016). Killing Two Cells with One Stone: Pharmacologic BCL-2 Family Targeting for Cancer Cell Death and Immune Modulation. Frontiers in Pediatrics. 4. 135–135. 20 indexed citations
17.
Edwards, Amanda, Evripidis Gavathiotis, James L. LaBelle, et al.. (2013). Multimodal Interaction with BCL-2 Family Proteins Underlies the Proapoptotic Activity of PUMA BH3. Chemistry & Biology. 20(7). 888–902. 61 indexed citations
18.
LaBelle, James L., Samuel G. Katz, Gregory H. Bird, et al.. (2012). A stapled BIM peptide overcomes apoptotic resistance in hematologic cancers. Journal of Clinical Investigation. 122(6). 2018–2031. 144 indexed citations
19.
LaBelle, James L. & Robert L. Truitt. (2002). Characterization of a Murine NKT Cell Tumor Previously Described as an Acute Myelogenous Leukemia. Leukemia & lymphoma. 43(8). 1637–1644. 21 indexed citations
20.
Johnson, Bryon D., et al.. (1999). Role of Immunoregulatory Donor T Cells in Suppression of Graft-Versus-Host Disease Following Donor Leukocyte Infusion Therapy. The Journal of Immunology. 163(12). 6479–6487. 54 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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