John A. Wrobel

9.6k total citations · 1 hit paper
17 papers, 468 citations indexed

About

John A. Wrobel is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, John A. Wrobel has authored 17 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in John A. Wrobel's work include Advanced Proteomics Techniques and Applications (4 papers), Immune cells in cancer (3 papers) and RNA Research and Splicing (3 papers). John A. Wrobel is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Immune cells in cancer (3 papers) and RNA Research and Splicing (3 papers). John A. Wrobel collaborates with scholars based in United States, China and Belgium. John A. Wrobel's co-authors include Xian Chen, Harsha P. Gunawardena, Wei Li, Benjamin G. Vincent, Dingka Song, Sarah Entwistle, W. June Brickey, Sirui Li, Yuliya Pylayeva‐Gupta and Jenny P.‐Y. Ting and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

John A. Wrobel

16 papers receiving 462 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.

STING-induced regulatory B cells compromise NK function in cancer immunity

2022 213 citations Sirui Li, Bhalchandra Mirlekar et al. Nature profile →

Peers

John A. Wrobel

IMMUN

ONCOL

Sabelo Lukhele Canada

Yongyong Ji China

Brett Spurrier United States

Zoe H. Davis United States

Andreas O. Weinzierl Germany

Florent Colomb United Kingdom

Jean-Philippe Belzile Canada

Wenxi Xu China

Emily Freund United States

Sabelo Lukhele Canada

John A. Wrobel

211 ×0.8

276 ×1.2

IMMUN

71 ×0.7

116 ×1.3

ONCOL

34 ×0.7

Citations per year, relative to John A. Wrobel John A. Wrobel (= 1×) peers Sabelo Lukhele

Countries citing papers authored by John A. Wrobel

Since Specialization

Citations

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

Fields of papers citing papers by John A. Wrobel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Wrobel. 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 John A. Wrobel. The network helps show where John A. Wrobel may publish in the future.

Co-authorship network of co-authors of John A. Wrobel

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Wang, Yan, Inna Chervoneva, John A. Wrobel, et al.. (2023). IL-11 induces NLRP3 inflammasome activation in monocytes and inflammatory cell migration to the central nervous system. Proceedings of the National Academy of Sciences. 120(26). e2221007120–e2221007120. 49 indexed citations

Hu, Ming, Liang Cheng, John A. Wrobel, et al.. (2022). TWO-SIGMA-G: a new competitive gene set testing framework for scRNA-seq data accounting for inter-gene and cell–cell correlation. Briefings in Bioinformatics. 23(3). 3 indexed citations

Li, Sirui, Bhalchandra Mirlekar, Brandon M. Johnson, et al.. (2022). STING-induced regulatory B cells compromise NK function in cancer immunity. Nature. 610(7931). 373–380. 213 indexed citations breakdown →

Wang, Li, John A. Wrobel, Ling Xie, & Xian Chen. (2021). Protocol for proteogenomic dissection of intronic splicing enhancer interactome for prediction of individualized cancer prognosis. STAR Protocols. 2(1). 100338–100338. 1 indexed citations

Yu, Haisheng, John A. Wrobel, Guangming Li, et al.. (2020). Identification of pathogenic TRAIL-expressing innate immune cells during HIV-1 infection in humanized mice by scRNA-seq. JCI Insight. 5(11). 12 indexed citations

Wrobel, John A., et al.. (2020). Comparison of the Membrane Proteome of Virulent Mycobacterium tuberculosis and the Attenuated Mycobacterium bovis BCG Vaccine Strain by Label-Free Quantitative Proteomics. UNC Libraries.

Wei, Xin, Yanbao Yu, Zhou Li, et al.. (2020). A chromatin activity-based chemoproteomic approach reveals a transcriptional repressome for gene-specific silencing. UNC Libraries. 1 indexed citations

Xie, Ling, et al.. (2019). Novel secretome-to-transcriptome integrated or secreto-transcriptomic approach to reveal liquid biopsy biomarkers for predicting individualized prognosis of breast cancer patients. BMC Medical Genomics. 12(1). 78–78. 9 indexed citations

Wrobel, John A., Ling Xie, Li Wang, et al.. (2019). Multi-omic Dissection of Oncogenically Active Epiproteomes Identifies Drivers of Proliferative and Invasive Breast Tumors. iScience. 17. 359–378. 3 indexed citations

10.

Wang, Li, John A. Wrobel, Ling Xie, et al.. (2018). Novel RNA-Affinity Proteogenomics Dissects Tumor Heterogeneity for Revealing Personalized Markers in Precision Prognosis of Cancer. Cell chemical biology. 25(5). 619–633.e5. 9 indexed citations

11.

Gunawardena, Harsha P., Jonathon J. O’Brien, John A. Wrobel, et al.. (2015). QuantFusion: Novel Unified Methodology for Enhanced Coverage and Precision in Quantifying Global Proteomic Changes in Whole Tissues. Molecular & Cellular Proteomics. 15(2). 740–751. 5 indexed citations

12.

Liu, Cui, Yanbao Yu, Feng Liu, et al.. (2014). A chromatin activity-based chemoproteomic approach reveals a transcriptional repressome for gene-specific silencing. Nature Communications. 5(1). 5733–5733. 30 indexed citations

13.

Gunawardena, Harsha P., Meghan E. Feltcher, John A. Wrobel, et al.. (2013). Comparison of the Membrane Proteome of Virulent Mycobacterium tuberculosis and the Attenuated Mycobacterium bovis BCG Vaccine Strain by Label-Free Quantitative Proteomics. Journal of Proteome Research. 12(12). 5463–5474. 40 indexed citations

14.

Khatun, Jainab, Yanbao Yu, John A. Wrobel, et al.. (2013). Whole human genome proteogenomic mapping for ENCODE cell line data: identifying protein-coding regions. BMC Genomics. 14(1). 141–141. 44 indexed citations

15.

Wrobel, John A., et al.. (2000). Analysis of HIV Type 1 Reverse Transcriptase: Comparing Sequences of Viral Isolates with Mutational Data. AIDS Research and Human Retroviruses. 16(18). 2049–2054. 6 indexed citations

16.

Wrobel, John A., Michael Conrad, Jason D. Merker, et al.. (1998). A genetic approach for identifying critical residues in the fingers and palm subdomains of HIV-1 reverse transcriptase. Proceedings of the National Academy of Sciences. 95(2). 638–645. 39 indexed citations

17.

Hoffmann, George, et al.. (1987). A recombinagenic effect of strychnine in Salmonella typhimurium. Environmental and Molecular Mutagenesis. 10(1). 27–33. 4 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.

Explore authors with similar magnitude of impact