Jonathan C. Su

581 total citations · 1 hit paper
9 papers, 370 citations indexed

About

Jonathan C. Su is a scholar working on Molecular Biology, Computer Science Applications and Software. According to data from OpenAlex, Jonathan C. Su has authored 9 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Computer Science Applications and 3 papers in Software. Recurrent topics in Jonathan C. Su's work include Teaching and Learning Programming (3 papers), Software Testing and Debugging Techniques (3 papers) and Open Education and E-Learning (2 papers). Jonathan C. Su is often cited by papers focused on Teaching and Learning Programming (3 papers), Software Testing and Debugging Techniques (3 papers) and Open Education and E-Learning (2 papers). Jonathan C. Su collaborates with scholars based in United States. Jonathan C. Su's co-authors include Anastasia K. Varanko, Ashutosh Chilkoti, Eric Wiebe, Susan H. Rodger, Ashutosh Chilkoti, Yifan Dai, Dongheon Lee, Rohit V. Pappu, Xiangze Zeng and Lingchong You and has published in prestigious journals such as Nature Communications, Diabetes and Nature Chemistry.

In The Last Decade

Jonathan C. Su

9 papers receiving 359 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.

Programmable synthetic biomolecular condensates for cellular control

2023 89 citations Yifan Dai, Mina Farag et al. Nature Chemical Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan C. Su United States	6	174	111	58	43	39	9	370
Simone A. Costa United States	8	178 1.0×	123 1.1×	58 1.0×	53 1.2×	1 0.0×	15	317
Yong Yin China	5	265 1.5×	69 0.6×	35 0.6×	31 0.7×		6	432
Ramesh Dandu United States	8	144 0.8×	227 2.0×	66 1.1×	38 0.9×		8	376
Nicholas Flynn United States	12	279 1.6×	79 0.7×	50 0.9×	62 1.4×		17	422
Nina Kristine Reitan Norway	10	270 1.6×	115 1.0×	52 0.9×	101 2.3×		18	493
K. Kono Japan	6	151 0.9×	180 1.6×	16 0.3×	105 2.4×	4 0.1×	10	341
Kadriye Çiftçi United States	9	242 1.4×	98 0.9×	85 1.5×	60 1.4×		15	555
Ron B. Shmueli United States	13	307 1.8×	116 1.0×	71 1.2×	98 2.3×		21	537
Chi‐Hao Luan United States	8	240 1.4×	125 1.1×	157 2.7×	60 1.4×		16	482
Jisang Yoo South Korea	10	215 1.2×	126 1.1×	23 0.4×	98 2.3×		13	363

Countries citing papers authored by Jonathan C. Su

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan C. Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan C. Su. 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 Jonathan C. Su. The network helps show where Jonathan C. Su may publish in the future.

Co-authorship network of co-authors of Jonathan C. Su

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

All Works

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9 of 9 papers shown

1.

Milligan, Joshua J., Amit Chakrabarty, Jonathan C. Su, et al.. (2025). Controlling Release Kinetics of an Adjuvant from a Depot Improves the Efficacy of Local Immunotherapy in Metastatic Cancer. Advanced Science. 12(37). e03591–e03591. 2 indexed citations

2.

Deshpande, Sonal, Seyed Ali Eghtesadi, Cassio M. Fontes, et al.. (2025). Synthetic biomolecular condensates enhance translation from a target mRNA in living cells. Nature Chemistry. 17(3). 448–456. 13 indexed citations

3.

Su, Jonathan C., et al.. (2024). Synthetic intrinsically disordered protein fusion tags that enhance protein solubility. Nature Communications. 15(1). 3727–3727. 18 indexed citations

4.

Dai, Yifan, Mina Farag, Dongheon Lee, et al.. (2023). Programmable synthetic biomolecular condensates for cellular control. Nature Chemical Biology. 19(4). 518–528. 89 indexed citations breakdown →

5.

Varanko, Anastasia K., Jonathan C. Su, & Ashutosh Chilkoti. (2020). Elastin-Like Polypeptides for Biomedical Applications. Annual Review of Biomedical Engineering. 22(1). 343–369. 195 indexed citations

6.

Gilroy, Caslin A., Megan E. Capozzi, Jonathan C. Su, et al.. (2019). 1016-P: A Novel GLP-1 and FGF-21 Dual Agonist Drug Protects Mice from Obesity and Hyperglycemia. Diabetes. 68(Supplement_1). 1 indexed citations

7.

Rodger, Susan H., et al.. (2011). Changes to JFLAP to increase its use in courses. 339–339. 1 indexed citations

8.

Rodger, Susan H., et al.. (2009). Increasing engagement in automata theory with JFLAP. ACM SIGCSE Bulletin. 41(1). 403–407. 20 indexed citations

9.

Rodger, Susan H., et al.. (2009). Increasing engagement in automata theory with JFLAP. 403–407. 31 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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