B.J. Moss

2.0k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

B.J. Moss is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, B.J. Moss has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in B.J. Moss's work include Genetics, Aging, and Longevity in Model Organisms (3 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). B.J. Moss is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (3 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). B.J. Moss collaborates with scholars based in United States, Germany and Switzerland. B.J. Moss's co-authors include Stefan W. Ryter, Iván O. Rosas, Francesca Demichelis, Mark A. Rubin, David S. Rickman, Ashutosh Tewari, Dorothee Pflueger, Stéphane Terry, Andrea Sboner and Naoki Kitabayashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

B.J. Moss

14 papers receiving 1.3k 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.

Pathogenic Mechanisms Underlying Idiopathic Pulmonary Fibrosis

2021 430 citations B.J. Moss, Stefan W. Ryter et al. Annual Review of Pathology Mechanisms of Disease profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B.J. Moss United States	11	767	691	309	209	91	16	1.3k
Masaki Nasu United States	9	902 1.2×	431 0.6×	197 0.6×	282 1.3×	67 0.7×	18	1.4k
Alma D. Campos-Parra Mexico	23	441 0.6×	761 1.1×	703 2.3×	420 2.0×	69 0.8×	45	1.3k
Eung Bae Lee South Korea	20	653 0.9×	544 0.8×	286 0.9×	369 1.8×	75 0.8×	56	1.1k
Morag Seywright United Kingdom	17	311 0.4×	481 0.7×	242 0.8×	322 1.5×	92 1.0×	40	948
Wenhua Lang United States	17	304 0.4×	784 1.1×	257 0.8×	374 1.8×	91 1.0×	28	1.3k
Qi-Shan Dai China	21	291 0.4×	770 1.1×	426 1.4×	289 1.4×	78 0.9×	39	1.2k
Changchuan Pan China	19	255 0.3×	379 0.5×	219 0.7×	322 1.5×	70 0.8×	23	995
Carmela De Marco Italy	20	195 0.3×	691 1.0×	242 0.8×	336 1.6×	113 1.2×	34	1000
Jean‐Paul Feugeas France	20	203 0.3×	580 0.8×	356 1.2×	392 1.9×	67 0.7×	44	1.1k
Wenjun Qiu China	8	411 0.5×	564 0.8×	322 1.0×	288 1.4×	52 0.6×	16	991

Countries citing papers authored by B.J. Moss

Since Specialization

Citations

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

Fields of papers citing papers by B.J. Moss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.J. Moss. 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 B.J. Moss. The network helps show where B.J. Moss may publish in the future.

Co-authorship network of co-authors of B.J. Moss

This figure shows the co-authorship network connecting the top 25 collaborators of B.J. Moss. A scholar is included among the top collaborators of B.J. Moss 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 B.J. Moss. B.J. Moss 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:

16 of 16 papers shown

McKenna, Neil J., Scott A. Ochsner, B.J. Moss, et al.. (2025). Single Cell Transcriptomics in a Treatment Status Segregated Cohort Exposes a STAT3-Regulated Therapeutic Gap in Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A5273–A5273.

Adams, Taylor, John E. McDonough, B.J. Moss, et al.. (2024). SINGLE-CELL ANALYSIS OF SOMATIC MUTATIONS IN HUMAN LUNG REVEALS ASSOCIATION WITH TRANSCRIPTIONAL CHANGES IN AGING. Innovation in Aging. 8(Supplement_1). 571–572.

Moss, B.J. & Daniel M. Musher. (2021). Candida species in community-acquired pneumonia in patients with chronic aspiration. SHILAP Revista de lepidopterología. 13(1). 10 indexed citations

Moss, B.J., Stefan W. Ryter, & Iván O. Rosas. (2021). Pathogenic Mechanisms Underlying Idiopathic Pulmonary Fibrosis. Annual Review of Pathology Mechanisms of Disease. 17(1). 515–546. 430 indexed citations breakdown →

Musher, Daniel M., et al.. (2020). Normal Respiratory Flora as a Cause of Community-Acquired Pneumonia. Open Forum Infectious Diseases. 7(9). ofaa307–ofaa307. 23 indexed citations

Moss, B.J., et al.. (2019). Things We Do For No Reason™: Supplemental Oxygen for Patients without Hypoxemia. Journal of Hospital Medicine. 15(4). 242–244. 2 indexed citations

Moss, B.J., Lidia Park, Caroline L. Dahlberg, & Peter Juo. (2016). The CaM Kinase CMK-1 Mediates a Negative Feedback Mechanism Coupling the C. elegans Glutamate Receptor GLR-1 with Its Own Transcription. PLoS Genetics. 12(7). e1006180–e1006180. 14 indexed citations

Luth, Eric S., et al.. (2015). The AP2 clathrin adaptor protein complex regulates the abundance of GLR-1 glutamate receptors in the ventral nerve cord ofCaenorhabditis elegans. Molecular Biology of the Cell. 26(10). 1887–1900. 11 indexed citations

Moss, B.J., et al.. (2015). The DAF-7/TGF-β signaling pathway regulates abundance of the Caenorhabditis elegans glutamate receptor GLR-1. Molecular and Cellular Neuroscience. 67. 66–74. 16 indexed citations

10.

Rickman, David S., T. David Soong, B.J. Moss, et al.. (2012). Oncogene-mediated alterations in chromatin conformation. Proceedings of the National Academy of Sciences. 109(23). 9083–9088. 103 indexed citations

11.

Rickman, David S., Ari Melnick, Olivier Elemento, et al.. (2012). Abstract A31: ERG-mediated alterations in chromatin conformation. Cancer Research. 72(4_Supplement). A31–A31. 1 indexed citations

12.

Sboner, Andrea, Lukas Habegger, Dorothee Pflueger, et al.. (2010). FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data. Genome biology. 11(10). 110 indexed citations

13.

Pflueger, Dorothee, Stéphane Terry, Andrea Sboner, et al.. (2010). Discovery of non-ETS gene fusions in human prostate cancer using next-generation RNA sequencing. Genome Research. 21(1). 56–67. 157 indexed citations

14.

Rickman, David S., Dorothee Pflueger, B.J. Moss, et al.. (2009). SLC45A3-ELK4 Is a Novel and Frequent Erythroblast Transformation–Specific Fusion Transcript in Prostate Cancer. Cancer Research. 69(7). 2734–2738. 155 indexed citations

15.

Pflueger, Dorothee, David S. Rickman, Andrea Sboner, et al.. (2009). N-myc Downstream Regulated Gene 1 (NDRG1) Is Fused to ERG in Prostate Cancer. Neoplasia. 11(8). 804–W18. 98 indexed citations

16.

Perner, Sven, Patrick Wagner, Francesca Demichelis, et al.. (2008). EML4-ALK Fusion Lung Cancer: A Rare Acquired Event. Neoplasia. 10(3). 298–302. 196 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