Moa Sa

1.5k total citations · 1 hit paper
8 papers, 765 citations indexed

About

Moa Sa is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Moa Sa has authored 8 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Moa Sa's work include SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Immune Cell Function and Interaction (3 papers). Moa Sa is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Immune Cell Function and Interaction (3 papers). Moa Sa collaborates with scholars based in South Korea, Puerto Rico and Japan. Moa Sa's co-authors include Su‐Hyung Park, Eui‐Cheol Shin, Hye Won Jeong, Seong Jin Choi, Ji‐Soo Kwon, Sung‐Han Kim, Heung Kyu Lee, Baekgyu Choi, Jin Young Ahn and Su Jin Jeong and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Experimental & Molecular Medicine.

In The Last Decade

Moa Sa

8 papers receiving 753 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Immunophenotyping of COVID-19 and influenza highlights the role of type I interferons in development of severe COVID-19

2020 530 citations Jeong Seok Lee, Seong-Wan Park et al. Science Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Moa Sa South Korea	6	507	229	229	215	95	8	765
Hoyoung Lee South Korea	7	375 0.7×	178 0.8×	250 1.1×	169 0.8×	106 1.1×	9	699
Rosemary Vergara United States	8	594 1.2×	349 1.5×	492 2.1×	268 1.2×	111 1.2×	15	1.1k
Jiantao Dong China	4	398 0.8×	137 0.6×	169 0.7×	203 0.9×	41 0.4×	8	550
Wenqing Le China	3	415 0.8×	134 0.6×	163 0.7×	217 1.0×	40 0.4×	4	551
Meng‐Wei Zhuang China	8	369 0.7×	212 0.9×	286 1.2×	73 0.3×	68 0.7×	9	664
Dalila Mele Italy	14	248 0.5×	98 0.4×	463 2.0×	101 0.5×	131 1.4×	32	757
Benjamin J. Meckiff United Kingdom	4	370 0.7×	85 0.4×	217 0.9×	172 0.8×	62 0.7×	4	585
Simon Danisch Germany	7	318 0.6×	142 0.6×	172 0.8×	86 0.4×	145 1.5×	8	704
Chikako Nakai-Murakami Japan	4	362 0.7×	130 0.6×	69 0.3×	140 0.7×	52 0.5×	4	531
Simon Eschweiler United Kingdom	4	257 0.5×	65 0.3×	192 0.8×	113 0.5×	34 0.4×	5	449

Countries citing papers authored by Moa Sa

Since Specialization

Citations

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

Fields of papers citing papers by Moa Sa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moa Sa

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Choi, Young Joon, Hoyoung Lee, Jong Hoon Kim, et al.. (2022). CD5 Suppresses IL-15–Induced Proliferation of Human Memory CD8+ T Cells by Inhibiting mTOR Pathways. The Journal of Immunology. 209(6). 1108–1117. 11 indexed citations

2.

Jung, Jae Hyung, Min‐Seok Rha, Moa Sa, et al.. (2021). SARS-CoV-2-specific T cell memory is sustained in COVID-19 convalescent patients for 10 months with successful development of stem cell-like memory T cells. Nature Communications. 12(1). 4043–4043. 161 indexed citations

3.

Choi, Young Joon, Hoyoung Lee, Jong Hoon Kim, et al.. (2021). Cd5 Suppresses Il-15-Induced Proliferation of Human Memory Cd8+ T Cells by Inhibiting mTOR Pathways. SSRN Electronic Journal. 1 indexed citations

4.

Lee, Jeong Seok, Seong-Wan Park, Hye Won Jeong, et al.. (2020). Immunophenotyping of COVID-19 and influenza highlights the role of type I interferons in development of severe COVID-19. Science Immunology. 5(49). 530 indexed citations breakdown →

5.

Rha, Min‐Seok, Hye Won Jeong, Jae‐Hoon Ko, et al.. (2020). IFN-γ is Produced by Pd-1 <sup>+</sup> Cells Among SARS-CoV-2-Specific MHC-I Multimer+CD8 <sup>+</sup> T Cells in Acute and Convalescent COVID-19 Patients. SSRN Electronic Journal. 1 indexed citations

6.

Choi, Sunkyung, et al.. (2019). Rbfox2 dissociation from stress granules suppresses cancer progression. Experimental & Molecular Medicine. 51(4). 1–12. 45 indexed citations

7.

Kwon, Minsuk, Young Joon Choi, Moa Sa, Su‐Hyung Park, & Eui‐Cheol Shin. (2018). Two-Round Mixed Lymphocyte Reaction for Evaluation of the Functional Activities of Anti-PD-1 and Immunomodulators. Immune Network. 18(6). e45–e45. 10 indexed citations

8.

Sa, Moa, Chung‐Gyu Park, & Eung‐Soo Hwang. (2014). Analysis ofenvSubtypes of Porcine Endogenous Retrovirus in SNU Miniature Pigs. Journal of Bacteriology and Virology. 44(1). 75–75. 6 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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