S. A. Uddin

4.9k total citations
15 papers, 95 citations indexed

About

S. A. Uddin is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Molecular Biology. According to data from OpenAlex, S. A. Uddin has authored 15 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Astronomy and Astrophysics, 5 papers in Nuclear and High Energy Physics and 2 papers in Molecular Biology. Recurrent topics in S. A. Uddin's work include Gamma-ray bursts and supernovae (9 papers), Stellar, planetary, and galactic studies (5 papers) and Astrophysics and Cosmic Phenomena (5 papers). S. A. Uddin is often cited by papers focused on Gamma-ray bursts and supernovae (9 papers), Stellar, planetary, and galactic studies (5 papers) and Astrophysics and Cosmic Phenomena (5 papers). S. A. Uddin collaborates with scholars based in United States, Chile and Australia. S. A. Uddin's co-authors include M. M. Sirocky, N. A. Levenson, J. R. Mould, V. Ruhlmann-Kleider, C. Lidman, B Zhang, E. Baron, P. Hoêflich, E. Y. Hsiao and M. Stritzinger and has published in prestigious journals such as The Astrophysical Journal, Astronomy and Astrophysics and The Astronomical Journal.

In The Last Decade

S. A. Uddin

13 papers receiving 94 citations

Peers

S. A. Uddin
E. Barcikowski United States
K. A. Ponder United States
Anil Dosaj United States
Turgay Çağlar United States
M.-Y. Lin Germany
Heidi Schweiker United States
E. Barcikowski United States
S. A. Uddin
Citations per year, relative to S. A. Uddin S. A. Uddin (= 1×) peers E. Barcikowski

Countries citing papers authored by S. A. Uddin

Since Specialization
Citations

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

Fields of papers citing papers by S. A. Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. A. Uddin

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

All Works

15 of 15 papers shown
1.
Galbany, L., M. Stritzinger, C. Ashall, et al.. (2025). Analyzing Type Ia supernovae near-infrared light curves with principal component analysis. Astronomy and Astrophysics. 702. A134–A134.
2.
Staddon, Chad, et al.. (2025). Estimating household water storage from images: A machine learning approach. Journal of Water Sanitation and Hygiene for Development. 15(6). 493–501.
3.
Hoêflich, P., E. Y. Hsiao, M. M. Phillips, et al.. (2024). Type Ia Supernova Progenitor Properties and their Host Galaxies. The Astrophysical Journal. 969(2). 80–80. 3 indexed citations
4.
Burton, Michael, Jessica Zheng, J. R. Mould, et al.. (2024). Scientific Goals of the Kunlun Infrared Sky Survey (KISS). Figshare. 1 indexed citations
5.
Uddin, S. A., Holger Thiele, Noor Hassan, et al.. (2023). A TMC8 splice variant causes epidermodysplasia verruciformis in a Pakistani family. Clinical and Experimental Dermatology. 48(4). 434–437. 2 indexed citations
6.
Müller-Bravo, T. E., L. Galbany, E. Karamehmetoglu, et al.. (2022). Testing the homogeneity of type Ia Supernovae in near-infrared for accurate distance estimations. Astronomy and Astrophysics. 665. A123–A123. 7 indexed citations
7.
Baron, E., C. Ashall, C. R. Burns, et al.. (2020). Carnegie supernova project: classification of type Ia supernovae. Conicet. 8 indexed citations
8.
Ashall, C., Jing Lü, C. R. Burns, et al.. (2020). Carnegie Supernova Project-II: A New Method to Photometrically Identify Sub-types of Extreme Type Ia Supernovae. The Astrophysical Journal Letters. 895(1). L3–L3. 12 indexed citations
9.
Uddin, S. A., Axel Schmidt, Fazal Ur Rehman, et al.. (2020). Apparent Missense Variant in COL7A1 Causes a Severe Form of Recessive Dystrophic Epidermolysis Bullosa via Effects on Splicing. Acta Dermato Venereologica. 100(16). adv00275–adv00275. 2 indexed citations
10.
Fu, Jian-Ning, Weikai Zong, Lingzhi Wang, et al.. (2018). Photometric Solutions of Three Eclipsing Binary Stars Observed from Dome A, Antarctica. The Astronomical Journal. 155(4). 168–168. 2 indexed citations
11.
Mould, J. R., Jeff Cooke, Chris Curtin, et al.. (2017). Detection of a possible superluminous supernova in the Epoch of Reionization. Science Bulletin. 62(10). 675–678. 2 indexed citations
12.
Uddin, S. A., J. R. Mould, C. Lidman, V. Ruhlmann-Kleider, & B Zhang. (2017). The Influence of Host Galaxies in Type Ia Supernova Cosmology. The Astrophysical Journal. 848(1). 56–56. 20 indexed citations
13.
Mould, J. R., et al.. (2017). IC 630: Piercing the Veil of the Nuclear Gas. The Astrophysical Journal. 838(2). 102–102. 3 indexed citations
14.
Uddin, S. A., et al.. (2013). Mapping the Spiral Structure of the Milky Way Galaxy at 21cm Wavelength Using the SALSA Radio Telescope of Onsala Space Observatory. 2(3). 37–42. 1 indexed citations
15.
Levenson, N. A., et al.. (2009). DUST EMISSION FROM UNOBSCURED ACTIVE GALACTIC NUCLEI. The Astrophysical Journal. 697(1). 182–193. 32 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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