Robbie D. Schultz

538 total citations
8 papers, 116 citations indexed

About

Robbie D. Schultz is a scholar working on Aging, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Robbie D. Schultz has authored 8 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Aging, 3 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Robbie D. Schultz's work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Cancer Cells and Metastasis (2 papers) and Cancer Genomics and Diagnostics (2 papers). Robbie D. Schultz is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (3 papers), Cancer Cells and Metastasis (2 papers) and Cancer Genomics and Diagnostics (2 papers). Robbie D. Schultz collaborates with scholars based in United States and Japan. Robbie D. Schultz's co-authors include Tina L. Gumienny, E. Ann Ellis, Ningyan Zhang, Zhiqiang An, Xun Gui, Cheng Cheng Zhang, Hisashi Arase, Yixiang Xu, Jingjing Xie and Heyu Chen and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Robbie D. Schultz

8 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robbie D. Schultz United States	4	48	31	29	20	18	8	116
Chris Harris United States	5	13 0.3×	133 4.3×	17 0.6×	43 2.1×	120 6.7×	5	245
Eleonora Khabirova United Kingdom	5	5 0.1×	62 2.0×	27 0.9×	4 0.2×	45 2.5×	6	124
Kameron Kooshesh United States	5	11 0.2×	258 8.3×	47 1.6×	3 0.1×	35 1.9×	10	327
Daniel A. Michelson United States	9	4 0.1×	60 1.9×	140 4.8×	13 0.7×	33 1.8×	11	237
Margarete M. Karg United States	7	5 0.1×	58 1.9×	18 0.6×	2 0.1×	18 1.0×	11	95
Sarra Merzouk Netherlands	7	10 0.2×	233 7.5×	14 0.5×	2 0.1×	20 1.1×	8	260
Itziar Cossío Spain	5	3 0.1×	56 1.8×	31 1.1×	5 0.3×	9 0.5×	5	101
Alex Yemelyanov United States	6	4 0.1×	117 3.8×	20 0.7×	2 0.1×	16 0.9×	9	203
Emin Onur Karakaslar Netherlands	5	5 0.1×	46 1.5×	24 0.8×	1 0.1×	11 0.6×	8	92
Bonita H. Powell United States	7	11 0.2×	192 6.2×	46 1.6×	4 0.2×	7 0.4×	9	247

Countries citing papers authored by Robbie D. Schultz

Since Specialization

Citations

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

Fields of papers citing papers by Robbie D. Schultz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robbie D. Schultz. 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 Robbie D. Schultz. The network helps show where Robbie D. Schultz may publish in the future.

Co-authorship network of co-authors of Robbie D. Schultz

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

All Works

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8 of 8 papers shown

Wu, Guojin, Yixiang Xu, Robbie D. Schultz, et al.. (2021). LILRB3 supports acute myeloid leukemia development and regulates T-cell antitumor immune responses through the TRAF2–cFLIP–NF-κB signaling axis. Nature Cancer. 2(11). 1170–1184. 38 indexed citations

Singh, Veena, David Berz, Robbie D. Schultz, et al.. (2020). The next generation of cerebrospinal fluid (CSF)-based molecular diagnostics: Improving sensitivity and actionability in breast and lung cancer patients with CNS involvement.. Journal of Clinical Oncology. 38(15_suppl). e14502–e14502. 1 indexed citations

Fenn, Kathleen, Veena Singh, Andrew B. Lassman, et al.. (2020). Diagnosis of leptomeningeal metastasis (LM) through identification of circulating tumor cells (CTCs) in cerebrospinal fluid (CSF).. Journal of Clinical Oncology. 38(15_suppl). 3567–3567. 1 indexed citations

Meng, Weixu, Aimin Tang, Xiaohua Ye, et al.. (2017). Targeting Human-Cytomegalovirus-Infected Cells by Redirecting T Cells Using an Anti-CD3/Anti-Glycoprotein B Bispecific Antibody. Antimicrobial Agents and Chemotherapy. 62(1). 16 indexed citations

Schultz, Robbie D., et al.. (2014). Regulation of Extracellular Matrix Organization by BMP Signaling in Caenorhabditis elegans. PLoS ONE. 9(7). e101929–e101929. 34 indexed citations

Schultz, Robbie D. & Tina L. Gumienny. (2012). Visualization of <em>Caenorhabditis Elegans</em> Cuticle Structures Using the Lipophilic Vital Dye, DiI. Journal of Visualized Experiments. e3362–e3362. 23 indexed citations

Schultz, Robbie D. & Tina L. Gumienny. (2012). Visualization of <em>Caenorhabditis elegans</em> Cuticular Structures Using the Lipophilic Vital Dye DiI. Journal of Visualized Experiments. 2 indexed citations

Schultz, Robbie D., Tina L. Gumienny, & A. J. Ellis. (2012). Two Novel Staining Protocols Resolve Caenorhabditis elegans Cuticular Structures for Confocal And Transmission Electron Microscopy. Microscopy and Microanalysis. 18(S2). 100–101. 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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