M. Jin

839 total citations · 1 hit paper
9 papers, 301 citations indexed

About

M. Jin is a scholar working on Astronomy and Astrophysics, Spectroscopy and Atmospheric Science. According to data from OpenAlex, M. Jin has authored 9 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 7 papers in Spectroscopy and 5 papers in Atmospheric Science. Recurrent topics in M. Jin's work include Astrophysics and Star Formation Studies (9 papers), Molecular Spectroscopy and Structure (6 papers) and Atmospheric Ozone and Climate (4 papers). M. Jin is often cited by papers focused on Astrophysics and Star Formation Studies (9 papers), Molecular Spectroscopy and Structure (6 papers) and Atmospheric Ozone and Climate (4 papers). M. Jin collaborates with scholars based in United States, Netherlands and Germany. M. Jin's co-authors include R. T. Garrod, Eric R. Willis, Eric Herbst, Jeong‐Eun Lee, Kee‐Tae Kim, E. F. van Dishoeck, K.-J. Chuang, S. Ioppolo, D. Qasim and Vincent Kofman and has published in prestigious journals such as The Astrophysical Journal, The Astrophysical Journal Supplement Series and The Astrophysical Journal Letters.

In The Last Decade

M. Jin

7 papers receiving 255 citations

Hit Papers

Formation of Complex Organic Molecules in Hot Molecular C... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Jin United States 5 251 171 108 108 9 9 301
M. Kamińska Sweden 9 223 0.9× 214 1.3× 207 1.9× 96 0.9× 10 1.1× 12 343
Young Chol Minh South Korea 11 313 1.2× 204 1.2× 129 1.2× 92 0.9× 7 0.8× 31 376
D. M. Paardekooper Netherlands 11 266 1.1× 169 1.0× 192 1.8× 138 1.3× 18 2.0× 19 374
Sébastien Gruet France 11 106 0.4× 165 1.0× 153 1.4× 81 0.8× 13 1.4× 20 278
F. Mispelaer France 7 315 1.3× 240 1.4× 220 2.0× 126 1.2× 11 1.2× 8 392
Mildred Martin United States 3 193 0.8× 140 0.8× 123 1.1× 52 0.5× 10 1.1× 4 247
Melike Afşar Türkiye 12 348 1.4× 62 0.4× 44 0.4× 66 0.6× 7 0.8× 32 414
Pooneh Nazari Netherlands 13 388 1.5× 221 1.3× 74 0.7× 98 0.9× 3 0.3× 23 415
P. D. Holtom United Kingdom 7 257 1.0× 184 1.1× 232 2.1× 141 1.3× 15 1.7× 10 395
Dawn Graninger United States 9 351 1.4× 161 0.9× 62 0.6× 97 0.9× 13 1.4× 16 392

Countries citing papers authored by M. Jin

Since Specialization
Citations

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

Fields of papers citing papers by M. Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Jin

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

All Works

9 of 9 papers shown
1.
Jin, M., Anthony J. Remijan, R. T. Garrod, et al.. (2025). The Robust Detection and Spatial Distribution of Acetaldehyde in Orion KL: Atacama Large Millimeter/submillimeter Array Observations and Chemical Modeling. The Astrophysical Journal. 987(1). 100–100. 1 indexed citations
2.
Sewiło, M., W. R. M. Rocha, M. L. van Gelder, et al.. (2025). Protostars at Subsolar Metallicity: First Detection of Large Solid-state Complex Organic Molecules in the Large Magellanic Cloud. The Astrophysical Journal Letters. 992(2). L30–L30.
3.
Yang, Yao-Lun, Neal J. Evans, M. Jin, et al.. (2025). CORINOS. III. Outflow Shocked Regions of the Low-mass Protostellar Source IRAS 15398–3359 with JWST and ALMA. The Astrophysical Journal. 982(2). 149–149. 4 indexed citations
4.
Garrod, R. T., et al.. (2022). Formation of Complex Organic Molecules in Hot Molecular Cores through Nondiffusive Grain-surface and Ice-mantle Chemistry. The Astrophysical Journal Supplement Series. 259(1). 1–1. 105 indexed citations breakdown →
5.
Jin, M., M. K. McClure, J. Terwisscha van Scheltinga, et al.. (2022). Ice Age: Chemodynamical Modeling of Cha-MMS1 to Predict New Solid-phase Species for Detection with JWST. The Astrophysical Journal. 935(2). 133–133. 4 indexed citations
6.
Yang, Yao-Lun, Joel D. Green, K. M. Pontoppidan, et al.. (2022). CORINOS. I. JWST/MIRI Spectroscopy and Imaging of a Class 0 Protostar IRAS 15398–3359. The Astrophysical Journal Letters. 941(1). L13–L13. 61 indexed citations
7.
Ioppolo, S., G. Fedoseev, K.-J. Chuang, et al.. (2020). A non-energetic mechanism for glycine formation in the interstellar medium. Nature Astronomy. 5(2). 197–205. 85 indexed citations
8.
Jin, M., Jeong‐Eun Lee, Kee‐Tae Kim, & Neal J. Evans. (2016). THE INFLOW SIGNATURE TOWARD DIFFERENT EVOLUTIONARY PHASES OF MASSIVE STAR FORMATION. The Astrophysical Journal Supplement Series. 225(2). 21–21. 7 indexed citations
9.
Jin, M., Jeong‐Eun Lee, & Kee‐Tae Kim. (2015). THE HCN/HNC ABUNDANCE RATIO TOWARD DIFFERENT EVOLUTIONARY PHASES OF MASSIVE STAR FORMATION. The Astrophysical Journal Supplement Series. 219(1). 2–2. 34 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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