Robert D. Schwab

867 total citations · 1 hit paper
9 papers, 200 citations indexed

About

Robert D. Schwab is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Robert D. Schwab has authored 9 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Robert D. Schwab's work include CAR-T cell therapy research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and RNA Interference and Gene Delivery (2 papers). Robert D. Schwab is often cited by papers focused on CAR-T cell therapy research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and RNA Interference and Gene Delivery (2 papers). Robert D. Schwab collaborates with scholars based in United States. Robert D. Schwab's co-authors include Avery D. Posey, Joseph A. Fraietta, Marcela V. Maus, Stephen Bagley, Adam Smith, Angela N. Viaene, Moumita Dasgupta, MacLean P. Nasrallah, Steven Brem and Ashley R. Carter and has published in prestigious journals such as Cell, Nucleic Acids Research and Circulation.

In The Last Decade

Robert D. Schwab

9 papers receiving 200 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.

Advances in cancer immunotherapies

2023 147 citations Robert D. Schwab, Avery D. Posey 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
Robert D. Schwab United States	4	87	74	62	58	24	9	200
Jane Chuprin United States	4	94 1.1×	61 0.8×	46 0.7×	127 2.2×	23 1.0×	5	244
Yimei Que China	8	37 0.4×	109 1.5×	60 1.0×	73 1.3×	20 0.8×	16	229
Weifeng He China	8	198 2.3×	51 0.7×	55 0.9×	64 1.1×	18 0.8×	13	329
Laura R. Pageon United States	8	46 0.5×	150 2.0×	57 0.9×	58 1.0×	24 1.0×	12	298
Małgorzata Bobrowicz Poland	11	123 1.4×	100 1.4×	20 0.3×	121 2.1×	16 0.7×	25	341
Lukas M. Altenburger Austria	7	125 1.4×	79 1.1×	28 0.5×	93 1.6×	21 0.9×	7	268
Hossein Saeedi Iran	10	88 1.0×	146 2.0×	29 0.5×	117 2.0×	21 0.9×	20	320
Kevin P. Labadie United States	7	81 0.9×	61 0.8×	66 1.1×	136 2.3×	32 1.3×	15	292
Diana P. Saraiva Portugal	7	94 1.1×	57 0.8×	66 1.1×	163 2.8×	23 1.0×	8	282
Xue Dong China	9	79 0.9×	71 1.0×	98 1.6×	49 0.8×	42 1.8×	18	291

Countries citing papers authored by Robert D. Schwab

Since Specialization

Citations

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

Fields of papers citing papers by Robert D. Schwab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert D. Schwab

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

All Works

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9 of 9 papers shown

1.

Schwab, Robert D., et al.. (2025). Chimeric Antigen Receptor Regulatory T Cells Targeted Against Oxidized Low-Density Lipoprotein Reduce Atherosclerotic Plaque Development. Circulation. 153(5). 319–337. 1 indexed citations

2.

Caplan, Avrom S., Robert D. Schwab, Emily Baumrin, et al.. (2023). Vitamin C deficiency in patients with acute myeloid leukemia: a case series and review of the literature. Blood Advances. 7(19). 5780–5783. 3 indexed citations

3.

Schwab, Robert D., et al.. (2023). Advances in cancer immunotherapies. Cell. 186(8). 1814–1814.e1. 147 indexed citations breakdown →

4.

Schwab, Robert D. & Selina M. Luger. (2023). Which Second-Line Tyrosine Kinase Inhibitor(s) for Chronic Myeloid Leukemia?. Current Treatment Options in Oncology. 24(7). 757–769. 1 indexed citations

5.

Smith, Adam, et al.. (2020). Protamine loops DNA in multiple steps. Nucleic Acids Research. 48(11). 6108–6119. 21 indexed citations

6.

Bagley, Stephen, Robert D. Schwab, Angela N. Viaene, et al.. (2018). Histopathologic quantification of viable tumor versus treatment effect in surgically resected recurrent glioblastoma. Journal of Neuro-Oncology. 141(2). 421–429. 15 indexed citations

7.

Fraietta, Joseph A., Robert D. Schwab, & Marcela V. Maus. (2016). Improving therapy of chronic lymphocytic leukemia with chimeric antigen receptor T cells. Seminars in Oncology. 43(2). 291–299. 10 indexed citations

8.

Schwab, Robert D., et al.. (2015). Optimizing Tethered Particle Motion to Measure DNA Compaction by Protamine. Biophysical Journal. 108(2). 393a–393a. 1 indexed citations

9.

Posey, Avery D., et al.. (2015). 515. Targeting Hypoglycosylation with a Chimeric Antigen Receptor. Molecular Therapy. 23. S206–S206. 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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