Steven Long

31.8k total citations · 5 hit papers
84 papers, 23.6k citations indexed

About

Steven Long is a scholar working on Oceanography, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Steven Long has authored 84 papers receiving a total of 23.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oceanography, 22 papers in Oncology and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Steven Long's work include Ocean Waves and Remote Sensing (27 papers), Oceanographic and Atmospheric Processes (15 papers) and Coastal and Marine Dynamics (14 papers). Steven Long is often cited by papers focused on Ocean Waves and Remote Sensing (27 papers), Oceanographic and Atmospheric Processes (15 papers) and Coastal and Marine Dynamics (14 papers). Steven Long collaborates with scholars based in United States, Taiwan and China. Steven Long's co-authors include Norden E. Huang, Zhengwei Shen, Man‐Li C. Wu, C. C. Tung, Quanan Zheng, Henry H. Liu, Nai-chyuan Yen, Zhaohua Wu, Samuel S. P. Shen and Chung‐Kang Peng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Geophysical Research Atmospheres.

In The Last Decade

Steven Long

79 papers receiving 22.5k citations

Hit Papers

The empirical mode decomp... 1998 2026 2007 2016 1998 1999 2003 2007 2009 5.0k 10.0k 15.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Steven Long 8.0k 3.9k 3.7k 3.2k 2.6k 84 23.6k
Zhengwei Shen 7.2k 0.9× 3.4k 0.9× 3.4k 0.9× 2.9k 0.9× 2.4k 0.9× 29 19.4k
Man‐Li C. Wu 7.0k 0.9× 3.3k 0.8× 3.3k 0.9× 2.9k 0.9× 2.3k 0.9× 26 19.8k
Quanan Zheng 6.5k 0.8× 3.0k 0.8× 3.1k 0.8× 2.7k 0.8× 2.1k 0.8× 190 22.5k
Nai-chyuan Yen 6.5k 0.8× 3.0k 0.8× 3.1k 0.8× 2.7k 0.8× 2.2k 0.8× 10 17.8k
C. C. Tung 6.6k 0.8× 3.3k 0.8× 3.2k 0.9× 2.7k 0.8× 2.1k 0.8× 68 18.3k
Norden E. Huang 13.7k 1.7× 6.5k 1.7× 6.3k 1.7× 5.4k 1.7× 4.3k 1.7× 170 40.1k
Zhaohua Wu 4.2k 0.5× 1.7k 0.4× 1.9k 0.5× 1.8k 0.6× 1.2k 0.5× 139 15.2k
Patrick Flandrin 5.1k 0.6× 2.1k 0.6× 1.3k 0.4× 1.8k 0.6× 1.2k 0.4× 181 13.5k
Ingrid Daubechies 4.3k 0.5× 2.2k 0.6× 1.7k 0.5× 3.2k 1.0× 2.2k 0.8× 83 40.2k
Stéphane Mallat 4.7k 0.6× 2.6k 0.7× 2.4k 0.6× 4.4k 1.4× 2.8k 1.1× 124 51.4k

Countries citing papers authored by Steven Long

Since Specialization
Citations

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

Fields of papers citing papers by Steven Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Long

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

All Works

20 of 20 papers shown
3.
Chan, Emily, et al.. (2024). Primary Melanoma of the Urinary Bladder: Clinical, Histopathologic, and Comprehensive Molecular Analysis of a Rare Tumor. International Journal of Surgical Pathology. 33(2). 477–483.
4.
Wang, James, Aris J. Kare, Shaunak Adkar, et al.. (2023). Combined near infrared photoacoustic imaging and ultrasound detects vulnerable atherosclerotic plaque. Biomaterials. 302. 122314–122314. 11 indexed citations
5.
Zeng, Yan, Jose Rivera, Ning Cheng, et al.. (2022). STAT3 Activation as a Predictive Biomarker for Ruxolitinib Response in Head and Neck Cancer. Clinical Cancer Research. 28(21). 4737–4746. 19 indexed citations
6.
Balassanian, Ronald, Matthew C. Cheung, Lorenzo Falchi, et al.. (2021). Global Cytopathology-Hematopathology Practice Trends. American Journal of Clinical Pathology. 157(2). 196–201. 2 indexed citations
7.
Long, Steven, Moses Q. Wilks, Hushan Yuan, et al.. (2021). Near-Infrared Fluorescence Imaging of Carotid Plaques in an Atherosclerotic Murine Model. Biomolecules. 11(12). 1753–1753. 3 indexed citations
8.
Liu, Yonggang, Hao Chen, Steven Long, et al.. (2020). Non-Invasive Photoacoustic Imaging of In Vivo Mice with Erythrocyte Derived Optical Nanoparticles to Detect CAD/MI. Scientific Reports. 10(1). 5983–5983. 11 indexed citations
9.
Yang, Soo‐Ryum, Kelly L. Mooney, Carol D. Jones, et al.. (2019). Targeted deep sequencing of cell‐free DNA in serous body cavity fluids with malignant, suspicious, and benign cytology. Cancer Cytopathology. 128(1). 43–56. 22 indexed citations
10.
Shree, Tanaya, Michael S. Khodadoust, Debra K. Czerwinski, et al.. (2019). A Phase I/II Trial of Intratumoral CpG, Local Low-Dose Radiation, and Oral Ibrutinib in Patients with Low-Grade B-Cell Lymphoma. Blood. 134(Supplement_1). 2825–2825. 2 indexed citations
11.
Natarajan, Arutselvan, et al.. (2018). A Novel Engineered Small Protein for Positron Emission Tomography Imaging of Human Programmed Death Ligand-1: Validation in Mouse Models and Human Cancer Tissues. Clinical Cancer Research. 25(6). 1774–1785. 33 indexed citations
12.
Frank, Matthew J., Patrick M. Reagan, Nancy L. Bartlett, et al.. (2018). In Situ Vaccination with a TLR9 Agonist and Local Low-Dose Radiation Induces Systemic Responses in Untreated Indolent Lymphoma. Cancer Discovery. 8(10). 1258–1269. 142 indexed citations
13.
Yousefi, Siavash, Steven Long, Toshinobu Saito, et al.. (2018). A Dual-Modality Hybrid Imaging System Harnesses Radioluminescence and Sound to Reveal Molecular Pathology of Atherosclerotic Plaques. Scientific Reports. 8(1). 8992–8992. 8 indexed citations
14.
Hossain, Nasheed, Bita Sahaf, Jay Y. Spiegel, et al.. (2018). Phase I Experience with a Bi-Specific CAR Targeting CD19 and CD22 in Adults with B-Cell Malignancies. Blood. 132(Supplement 1). 490–490. 48 indexed citations
15.
Bernacchi, Carl J., I. Köhler, Donald R. Ort, Steven Long, & Thomas E. Clemente. (2017). Agroecosystem productivity in a warmer and CO2 enriched atmosphere. EGUGA. 9391. 1 indexed citations
17.
Huang, Norden E., et al.. (2003). N. E. Huang et al. Applications of Hilbert–Huang transform to non‐stationary financial time series analysis. Applied Stochastic Models in Business and Industry 2003; 19(3): 245–268.. Applied Stochastic Models in Business and Industry. 19(4). 361–361. 3 indexed citations
18.
Huang, Norden E., et al.. (2000). The Ages of Large Amplitude Coastal Seiches on the Caribbean Coast of Puerto Rico. Journal of Physical Oceanography. 30(8). 2001–2012. 29 indexed citations
19.
Huang, Norden E., Zhengwei Shen, Steven Long, et al.. (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 454(1971). 903–995. 17636 indexed citations breakdown →
20.
Hayes, H., et al.. (1990). International System for Cytogenetic Nomenclature of Domestic Animals (1989). Cytogenetic and Genome Research. 53(2-3). 65–79. 206 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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