Todd Van Arsdale

1.1k total citations · 1 hit paper
6 papers, 915 citations indexed

About

Todd Van Arsdale is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Todd Van Arsdale has authored 6 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Todd Van Arsdale's work include Advanced Breast Cancer Therapies (2 papers), Fibroblast Growth Factor Research (1 paper) and Viral-associated cancers and disorders (1 paper). Todd Van Arsdale is often cited by papers focused on Advanced Breast Cancer Therapies (2 papers), Fibroblast Growth Factor Research (1 paper) and Viral-associated cancers and disorders (1 paper). Todd Van Arsdale collaborates with scholars based in United States, Spain and Canada. Todd Van Arsdale's co-authors include George Mosialos, Carl F. Ware, Maryla Krajewska, R. D. Gascoyne, Grant McFadden, Ahmed Shabaik, Judith Hugh, Albert B. Reynolds, John C. Reed and Charles V. Clevenger and has published in prestigious journals such as Cell, Blood and Cancer Research.

In The Last Decade

Todd Van Arsdale

6 papers receiving 894 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Epstein-Barr virus transforming protein LMP1 engages signaling proteins for the tumor necrosis factor receptor family

1995 839 citations George Mosialos, Todd Van Arsdale et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Todd Van Arsdale United States	3	597	379	281	269	215	6	915
Jamie P. Nourse Australia	16	479 0.8×	286 0.8×	334 1.2×	172 0.6×	274 1.3×	36	959
Gianna Ballon United States	12	462 0.8×	318 0.8×	281 1.0×	82 0.3×	327 1.5×	19	954
Li–Fu Hu Sweden	21	774 1.3×	109 0.3×	329 1.2×	242 0.9×	425 2.0×	33	1.2k
Juan Carlos Ramos United States	13	650 1.1×	141 0.4×	431 1.5×	159 0.6×	209 1.0×	32	908
Robert H. Sadler United States	11	1.0k 1.7×	203 0.5×	321 1.1×	161 0.6×	196 0.9×	12	1.3k
Joyce Setsuda United States	10	297 0.5×	290 0.8×	216 0.8×	78 0.3×	177 0.8×	11	658
Bernard Clausse France	11	403 0.7×	135 0.4×	138 0.5×	130 0.5×	192 0.9×	13	599
Misuzu Shimakage Japan	17	434 0.7×	129 0.3×	158 0.6×	60 0.2×	190 0.9×	33	726
Pauline Crooks Australia	18	578 1.0×	389 1.0×	350 1.2×	84 0.3×	128 0.6×	37	950

Countries citing papers authored by Todd Van Arsdale

Since Specialization

Citations

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

Fields of papers citing papers by Todd Van Arsdale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd Van Arsdale. 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 Todd Van Arsdale. The network helps show where Todd Van Arsdale may publish in the future.

Co-authorship network of co-authors of Todd Van Arsdale

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

All Works

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6 of 6 papers shown

1.

Anders, Lars, Todd Van Arsdale, Sudhakar Chintharlapalli, et al.. (2024). 354P Synergistic preclinical efficacy through combination of the CDK4 and CDK2 selective inhibitors, PF-07220060 and PF-07104091, respectively, in HR+ HER2- breast cancer. Annals of Oncology. 35. S365–S365. 1 indexed citations

2.

Moser, Justin C., Mingwei Min, Mónica Musteanu, et al.. (2023). Abstract 5992: Cells rapidly adapt to CDK2 inhibitors via plasticity of the CDK2/4/6-Rb-E2F axis. Cancer Research. 83(7_Supplement). 5992–5992. 1 indexed citations

3.

Lohse, Ines, Keira Pereira, Stephen S. Chung, et al.. (2015). Co-Injection of patient-derived fibroblasts enhances tumor growth, stromal invasion, and epithelial-to-mesenchymal transition. 4(1). 2–2. 2 indexed citations

4.

Shih, Alice, Ifat Geron, Tannishtha Reya, et al.. (2010). Human Blast Crisis Leukemia Stem Cell Inhibition with a Novel Smoothened Antagonist.. Blood. 116(21). 1223–1223. 12 indexed citations

5.

Krajewska, Maryla, Stanisław Krajewski, Juan M. Zapata, et al.. (1998). TRAF-4 expression in epithelial progenitor cells. Analysis in normal adult, fetal, and tumor tissues.. PubMed. 152(6). 1549–61. 60 indexed citations

6.

Mosialos, George, et al.. (1995). The Epstein-Barr virus transforming protein LMP1 engages signaling proteins for the tumor necrosis factor receptor family. Cell. 80(3). 389–399. 839 indexed citations breakdown →

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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