J.M. Holzbeierlein

488 total citations
8 papers, 392 citations indexed

About

J.M. Holzbeierlein is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J.M. Holzbeierlein has authored 8 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J.M. Holzbeierlein's work include Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (2 papers) and Immunotherapy and Immune Responses (2 papers). J.M. Holzbeierlein is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (2 papers) and Immunotherapy and Immune Responses (2 papers). J.M. Holzbeierlein collaborates with scholars based in United States and China. J.M. Holzbeierlein's co-authors include J. Brantley Thrasher, Benyi Li, Xinbo Liao, Qing‐Xiang Amy Sang, Jill C. Pelling, Scott M. Stanley, Suxia Han, Jun Yang, Jihong Liu and Qing Zhu and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Endocrinology.

In The Last Decade

J.M. Holzbeierlein

8 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.M. Holzbeierlein United States 7 272 109 77 66 47 8 392
Nicole A. Traphagen United States 12 203 0.7× 83 0.8× 120 1.6× 98 1.5× 41 0.9× 15 360
Fariba Ghaidi Canada 8 184 0.7× 106 1.0× 47 0.6× 53 0.8× 47 1.0× 11 289
Elena Panizza United States 11 290 1.1× 57 0.5× 73 0.9× 114 1.7× 22 0.5× 19 399
Alicia de las Pozas United States 12 337 1.2× 133 1.2× 112 1.5× 106 1.6× 56 1.2× 16 490
Jason Beliakoff United States 10 455 1.7× 69 0.6× 86 1.1× 63 1.0× 158 3.4× 11 596
Sonal J. Desai United States 8 186 0.7× 210 1.9× 155 2.0× 95 1.4× 69 1.5× 10 424
Giuseppina Claps United States 9 322 1.2× 101 0.9× 107 1.4× 142 2.2× 34 0.7× 13 498
Kristopher Krueger United States 8 259 1.0× 39 0.4× 113 1.5× 122 1.8× 85 1.8× 12 423
Adrienne R. Hanson Australia 9 241 0.9× 175 1.6× 106 1.4× 168 2.5× 94 2.0× 15 438
Josephat Omwancha United States 7 209 0.8× 134 1.2× 70 0.9× 52 0.8× 71 1.5× 8 330

Countries citing papers authored by J.M. Holzbeierlein

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Holzbeierlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Holzbeierlein. 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 J.M. Holzbeierlein. The network helps show where J.M. Holzbeierlein may publish in the future.

Co-authorship network of co-authors of J.M. Holzbeierlein

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

All Works

8 of 8 papers shown
1.
Khandelwal, Anuj, Shuxia Peng, Sanket J. Mishra, et al.. (2018). Structure-guided design of an Hsp90β N-terminal isoform-selective inhibitor. Nature Communications. 9(1). 425–425. 90 indexed citations
2.
Parker, William P., et al.. (2017). The Role of High Dose Interleukin-2 in the Era of Targeted Therapy. The Journal of Urology. 198(3). 538–545. 2 indexed citations
3.
Figlin, Robert A., Charles A. Nicolette, Alpesh Amin, et al.. (2011). Monitoring T-cell responses in a phase II study of AGS-003, an autologous dendritic cell-based therapy in patients with newly diagnosed advanced stage renal cell carcinoma in combination with sunitinib.. Journal of Clinical Oncology. 29(15_suppl). 2532–2532. 19 indexed citations
4.
Logan, Theodore F., Raymond S. Lance, J.M. Holzbeierlein, et al.. (2010). A phase II study testing the safety and activity of AGS-003 as an immunotherapeutic in subjects with newly diagnosed advanced stage renal cell carcinoma (RCC) in combination with sunitinib.. Journal of Clinical Oncology. 28(15_suppl). 4588–4588. 16 indexed citations
5.
Zhu, Qing, Jun Yang, Suxia Han, et al.. (2010). Suppression of glycogen synthase kinase 3 activity reduces tumor growth of prostate cancer in vivo. The Prostate. 71(8). 835–845. 86 indexed citations
6.
Damjanov, Ivan, et al.. (2007). ITGCN of the Testis, Contralateral Testicular Biopsy and Bilateral Testicular Cancer. Urologic Clinics of North America. 34(2). 119–125. 8 indexed citations
7.
Liao, Xinbo, J. Brantley Thrasher, J.M. Holzbeierlein, Scott M. Stanley, & Benyi Li. (2004). Glycogen Synthase Kinase-3β Activity Is Required for Androgen-Stimulated Gene Expression in Prostate Cancer. Endocrinology. 145(6). 2941–2949. 73 indexed citations
8.
Liao, Xinbo, J. Brantley Thrasher, Jill C. Pelling, et al.. (2003). Androgen Stimulates Matrix Metalloproteinase-2 Expression in Human Prostate Cancer. Endocrinology. 144(5). 1656–1663. 98 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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Breakdown of academic impact, for papers by Nicole A. Traphagen Breakdown of academic impact, for papers by Fariba Ghaidi Breakdown of academic impact, for papers by Elena Panizza Breakdown of academic impact, for papers by Alicia de las Pozas Breakdown of academic impact, for papers by Jason Beliakoff Breakdown of academic impact, for papers by Sonal J. Desai Breakdown of academic impact, for papers by Giuseppina Claps Breakdown of academic impact, for papers by Kristopher Krueger Breakdown of academic impact, for papers by Adrienne R. Hanson Breakdown of academic impact, for papers by Josephat Omwancha
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