Jerome J. Fang

1.6k total citations
8 papers, 443 citations indexed

About

Jerome J. Fang is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, Jerome J. Fang has authored 8 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Astronomy and Astrophysics, 8 papers in Instrumentation and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Jerome J. Fang's work include Astronomy and Astrophysical Research (8 papers), Galaxies: Formation, Evolution, Phenomena (8 papers) and Stellar, planetary, and galactic studies (4 papers). Jerome J. Fang is often cited by papers focused on Astronomy and Astrophysical Research (8 papers), Galaxies: Formation, Evolution, Phenomena (8 papers) and Stellar, planetary, and galactic studies (4 papers). Jerome J. Fang collaborates with scholars based in United States, China and France. Jerome J. Fang's co-authors include David C. Koo, S. M. Faber, Avishai Dekel, Yicheng Guo, Joel R. Primack, Daniel Ceverino, Guillermo Barro, Dale D. Kocevski, Zhu Chen and Camilla Pacifici and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Letters.

In The Last Decade

Jerome J. Fang

8 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jerome J. Fang United States 7 435 329 29 25 23 8 443
C. Hoyos Spain 13 506 1.2× 340 1.0× 43 1.5× 22 0.9× 25 1.1× 21 513
V. Perret France 10 558 1.3× 290 0.9× 24 0.8× 20 0.8× 31 1.3× 12 562
G. Consolandi Italy 12 571 1.3× 313 1.0× 19 0.7× 29 1.2× 48 2.1× 17 583
Hyunjin Jeong South Korea 11 507 1.2× 273 0.8× 32 1.1× 26 1.0× 33 1.4× 32 519
Anand Raichoor France 10 418 1.0× 274 0.8× 19 0.7× 19 0.8× 43 1.9× 18 429
Jamie R. Ownsworth United Kingdom 8 486 1.1× 364 1.1× 21 0.7× 12 0.5× 40 1.7× 8 494
E. Pignatelli Italy 10 500 1.1× 365 1.1× 31 1.1× 21 0.8× 36 1.6× 14 503
Jürgen Fliri Spain 6 524 1.2× 293 0.9× 22 0.8× 22 0.9× 24 1.0× 6 543
Richard D’Souza United States 11 653 1.5× 408 1.2× 28 1.0× 23 0.9× 38 1.7× 27 674
M. S. Alonso Argentina 7 391 0.9× 237 0.7× 33 1.1× 38 1.5× 17 0.7× 7 399

Countries citing papers authored by Jerome J. Fang

Since Specialization
Citations

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

Fields of papers citing papers by Jerome J. Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerome J. Fang

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

All Works

8 of 8 papers shown
1.
Faber, S. M., Aldo Rodríguez-Puebla, Joanna Woo, et al.. (2020). Structural and stellar-population properties versus bulge types in Sloan Digital Sky Survey central galaxies. Monthly Notices of the Royal Astronomical Society. 493(2). 1686–1707. 23 indexed citations
2.
Zhang, Haowen, Joel R. Primack, S. M. Faber, et al.. (2019). The evolution of galaxy shapes in CANDELS: from prolate to discy. Monthly Notices of the Royal Astronomical Society. 484(4). 5170–5191. 44 indexed citations
3.
Zheng, Xianzhong, Hassen M. Yesuf, David C. Koo, et al.. (2018). The Isophotal Structure of Star-forming Galaxies at 0.5 < z < 1.8 in CANDELS: Implications for the Evolution of Galaxy Structure. The Astrophysical Journal. 854(1). 70–70. 4 indexed citations
4.
Fang, Jerome J.. (2018). LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 56 indexed citations
5.
Barro, Guillermo, S. M. Faber, David C. Koo, et al.. (2017). Structural and Star-forming Relations since z similar to 3: Connecting Compact Star-forming and Quiescent Galaxies. eScholarship (California Digital Library). 70 indexed citations
6.
Wang, Weichen, S. M. Faber, Yicheng Guo, et al.. (2017). UVI colour gradients of 0.4 < z < 1.4 star-forming main-sequence galaxies in CANDELS: dust extinction and star formation profiles. Monthly Notices of the Royal Astronomical Society. 469(4). 4063–4082. 26 indexed citations
7.
Guo, Yicheng, David C. Koo, S. M. Faber, et al.. (2016). THE UV–OPTICAL COLOR GRADIENTS IN STAR-FORMING GALAXIES AT 0.5 < z < 1.5: ORIGINS AND LINK TO GALAXY ASSEMBLY. The Astrophysical Journal Letters. 822(2). L25–L25. 22 indexed citations
8.
Fang, Jerome J., S. M. Faber, David C. Koo, & Avishai Dekel. (2013). A LINK BETWEEN STAR FORMATION QUENCHING AND INNER STELLAR MASS DENSITY IN SLOAN DIGITAL SKY SURVEY CENTRAL GALAXIES. The Astrophysical Journal. 776(1). 63–63. 198 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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