Shannon Fallen

2.1k total citations
9 papers, 544 citations indexed

About

Shannon Fallen is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Shannon Fallen has authored 9 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Cancer Research. Recurrent topics in Shannon Fallen's work include Wnt/β-catenin signaling in development and cancer (3 papers), Cancer-related gene regulation (3 papers) and Extracellular vesicles in disease (2 papers). Shannon Fallen is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (3 papers), Cancer-related gene regulation (3 papers) and Extracellular vesicles in disease (2 papers). Shannon Fallen collaborates with scholars based in United States, Türkiye and Taiwan. Shannon Fallen's co-authors include Aykut Üren, Jeffrey A. Toretsky, Elspeth M. Beauchamp, Richard Schlegel, Nady Golestaneh, Maria Kokkinaki, Hang Yuan, Martin Dym, Alp Usubutün and Kelsey Scherler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

Shannon Fallen

9 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shannon Fallen United States	9	374	120	90	82	73	9	544
Shuguang Duo China	13	708 1.9×	75 0.6×	89 1.0×	48 0.6×	129 1.8×	22	950
Ulrike Schmitz Germany	10	248 0.7×	37 0.3×	93 1.0×	70 0.9×	54 0.7×	17	481
Cassie Schumacher United States	10	414 1.1×	115 1.0×	47 0.5×	56 0.7×	103 1.4×	14	643
Yutaka Kawahigashi Japan	11	377 1.0×	433 3.6×	52 0.6×	66 0.8×	60 0.8×	19	717
Fahimeh Rahnama New Zealand	11	423 1.1×	31 0.3×	123 1.4×	45 0.5×	125 1.7×	16	607
Christian N. Paxton United States	14	227 0.6×	66 0.6×	39 0.4×	35 0.4×	74 1.0×	33	631
Soren Hayrabedyan Bulgaria	14	160 0.4×	64 0.5×	220 2.4×	39 0.5×	26 0.4×	38	464
Gaëlle Tilly France	15	268 0.7×	40 0.3×	248 2.8×	52 0.6×	80 1.1×	25	588
Pierre Dehan Belgium	13	232 0.6×	87 0.7×	49 0.5×	25 0.3×	43 0.6×	18	594
Charissa Peterson United States	8	386 1.0×	75 0.6×	36 0.4×	38 0.5×	131 1.8×	8	691

Countries citing papers authored by Shannon Fallen

Since Specialization

Citations

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

Fields of papers citing papers by Shannon Fallen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon Fallen

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

Ghai, Vikas, Shannon Fallen, David Baxter, et al.. (2020). Alterations in Plasma microRNA and Protein Levels in War Veterans with Chronic Mild Traumatic Brain Injury. Journal of Neurotrauma. 37(12). 1418–1430. 35 indexed citations

Lee, Ming‐Jen, Shannon Fallen, Yong Zhou, et al.. (2019). The Impact of Moyamoya Disease and RNF213 Mutations on the Spectrum of Plasma Protein and MicroRNA. Journal of Clinical Medicine. 8(10). 1648–1648. 9 indexed citations

Fallen, Shannon, David Baxter, Xiaogang Wu, et al.. (2018). Extracellular vesicle RNAs reflect placenta dysfunction and are a biomarker source for preterm labour. Journal of Cellular and Molecular Medicine. 22(5). 2760–2773. 56 indexed citations

Morgan, Clive P., Jocelyn F. Krey, M’hamed Grati, et al.. (2016). PDZD7-MYO7A complex identified in enriched stereocilia membranes. eLife. 5. 35 indexed citations

Bulut, Gülay, Shannon Fallen, Elspeth M. Beauchamp, et al.. (2011). Beta-Catenin Accelerates Human Papilloma Virus Type-16 Mediated Cervical Carcinogenesis in Transgenic Mice. PLoS ONE. 6(11). e27243–e27243. 47 indexed citations

Zak, Daniel E., Frank Schmitz, Elizabeth S. Gold, et al.. (2011). Systems analysis identifies an essential role for SHANK-associated RH domain-interacting protein (SHARPIN) in macrophage Toll-like receptor 2 (TLR2) responses. Proceedings of the National Academy of Sciences. 108(28). 11536–11541. 57 indexed citations

Golestaneh, Nady, Elspeth M. Beauchamp, Shannon Fallen, et al.. (2009). Wnt signaling promotes proliferation and stemness regulation of spermatogonial stem/progenitor cells. Reproduction. 138(1). 151–162. 112 indexed citations

Chen, Kevin, Shannon Fallen, Hatice Özel Abaan, et al.. (2008). Wnt10b induces chemotaxis of osteosarcoma and correlates with reduced survival. Pediatric Blood & Cancer. 51(3). 349–355. 60 indexed citations

Üren, Aykut, Shannon Fallen, Hang Yuan, et al.. (2005). Activation of the Canonical Wnt Pathway during Genital Keratinocyte Transformation: A Model for Cervical Cancer Progression. Cancer Research. 65(14). 6199–6206. 133 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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