Rachel Popow

760 total citations · 1 hit paper
6 papers, 611 citations indexed

About

Rachel Popow is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Rachel Popow has authored 6 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Rachel Popow's work include Gastrointestinal Tumor Research and Treatment (2 papers), Immune Cell Function and Interaction (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Rachel Popow is often cited by papers focused on Gastrointestinal Tumor Research and Treatment (2 papers), Immune Cell Function and Interaction (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Rachel Popow collaborates with scholars based in United States and Japan. Rachel Popow's co-authors include Shan Zeng, Eric C. Sorenson, Ronald P. DeMatteo, Michael J. Cavnar, Lee M. Ocuin, Ferdinand Rossi, Peter Besmer, Cristina R. Antonescu, Vinod P. Balachandran and Zubin M. Bamboat and has published in prestigious journals such as Nature Medicine, The Journal of Experimental Medicine and Development.

In The Last Decade

Rachel Popow

6 papers receiving 601 citations

Hit Papers

align trajectories sort by overperformance

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.

Imatinib potentiates antitumor T cell responses in gastrointestinal stromal tumor through the inhibition of Ido

2011 410 citations Vinod P. Balachandran, Michael J. Cavnar et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rachel Popow United States	5	293	261	145	133	97	6	611
Megan H. Crawley United States	8	133 0.5×	139 0.5×	154 1.1×	127 1.0×	79 0.8×	10	389
Benjamin L. Green United States	12	151 0.5×	161 0.6×	89 0.6×	108 0.8×	107 1.1×	26	499
Maria Chiara Anania Italy	12	96 0.3×	142 0.5×	120 0.8×	175 1.3×	258 2.7×	15	558
Ruirong Yuan United States	9	76 0.3×	204 0.8×	6 0.0×	87 0.7×	209 2.2×	11	470
Li‐Fen Lee United States	8	383 1.3×	282 1.1×	3 0.0×	88 0.7×	163 1.7×	8	699
H Gatica Chile	13	89 0.3×	118 0.5×	5 0.0×	26 0.2×	71 0.7×	36	522
Sarah Bruneau France	14	215 0.7×	43 0.2×	8 0.1×	43 0.3×	154 1.6×	33	530
Tianqi Luo China	13	50 0.2×	122 0.5×	18 0.1×	103 0.8×	108 1.1×	30	409
Céline Brulard France	11	21 0.1×	139 0.5×	73 0.5×	289 2.2×	165 1.7×	17	514
Abdullah Alsuliman United States	9	236 0.8×	225 0.9×	2 0.0×	45 0.3×	105 1.1×	15	588

Countries citing papers authored by Rachel Popow

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Popow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Popow

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Popow. A scholar is included among the top collaborators of Rachel Popow 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 Rachel Popow. Rachel Popow 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.

Begum, Salma, et al.. (2019). The ciliary GTPase Arl3 maintains tissue architecture by directing planar spindle orientation during epidermal morphogenesis. Development. 146(9). 8 indexed citations

2.

Kim, Teresa S., Michael J. Cavnar, Noah A. Cohen, et al.. (2014). Increased KIT Inhibition Enhances Therapeutic Efficacy in Gastrointestinal Stromal Tumor. Clinical Cancer Research. 20(9). 2350–2362. 44 indexed citations

3.

Cavnar, Michael J., Shan Zeng, Teresa S. Kim, et al.. (2013). KIT oncogene inhibition drives intratumoral macrophage M2 polarization. The Journal of Experimental Medicine. 210(13). 2873–2886. 101 indexed citations

4.

Ocuin, Lee M., Shan Zeng, Michael J. Cavnar, et al.. (2012). Nilotinib protects the murine liver from ischemia/reperfusion injury. Journal of Hepatology. 57(4). 766–773. 47 indexed citations

5.

Balachandran, Vinod P., Michael J. Cavnar, Shan Zeng, et al.. (2011). Imatinib potentiates antitumor T cell responses in gastrointestinal stromal tumor through the inhibition of Ido. Nature Medicine. 17(9). 1094–1100. 410 indexed citations breakdown →

6.

Sorenson, Eric C., Lee M. Ocuin, Michael J. Cavnar, et al.. (2011). Hepatocellular carcinoma arises in an immunosuppressive tumor microenvironment. Journal of the American College of Surgeons. 213(3). S133–S133. 1 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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