Sungman Cha

3.4k total citations · 1 hit paper
55 papers, 2.9k citations indexed

About

Sungman Cha is a scholar working on Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sungman Cha has authored 55 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Sungman Cha's work include Biochemical and Molecular Research (28 papers), Enzyme function and inhibition (8 papers) and Adenosine and Purinergic Signaling (7 papers). Sungman Cha is often cited by papers focused on Biochemical and Molecular Research (28 papers), Enzyme function and inhibition (8 papers) and Adenosine and Purinergic Signaling (7 papers). Sungman Cha collaborates with scholars based in United States, South Korea and Sudan. Sungman Cha's co-authors include Mahmoud H. el Kouni, Robert E. Parks, Fardos N.M. Naguib, Shih Hsi Chu, John G. Niedzwicki, Max H. Iltzsch, Ram P. Agarwal, Norma J. Messier, Ming Chu and Bernard W. Fulpius and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Sungman Cha

54 papers receiving 2.7k citations

Hit Papers

Tight-binding inhibitors—I 1975 2026 1992 2009 1975 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sungman Cha 2.1k 636 370 312 271 55 2.9k
Irving Lieberman 3.2k 1.5× 464 0.7× 218 0.6× 425 1.4× 238 0.9× 91 4.7k
Richard M. Burger 1.6k 0.8× 920 1.4× 222 0.6× 125 0.4× 103 0.4× 52 2.8k
E. Colleen Moore 2.3k 1.1× 519 0.8× 166 0.4× 167 0.5× 213 0.8× 48 3.1k
Gladys F. Maley 3.8k 1.8× 864 1.4× 140 0.4× 201 0.6× 288 1.1× 119 4.7k
Robert B. Hurlbert 1.8k 0.9× 181 0.3× 150 0.4× 175 0.6× 173 0.6× 39 2.7k
Hiremagalur N. Jayaram 2.3k 1.1× 488 0.8× 651 1.8× 894 2.9× 766 2.8× 118 3.2k
Lars Petter Jordheim 1.7k 0.8× 627 1.0× 506 1.4× 370 1.2× 597 2.2× 109 3.1k
John K. Buolamwini 1.9k 0.9× 728 1.1× 201 0.5× 163 0.5× 280 1.0× 75 3.1k
Thomas A. Krenitsky 3.3k 1.6× 622 1.0× 682 1.8× 1.5k 4.7× 1.3k 4.7× 96 5.0k
Fabrizio Giordanetto 2.7k 1.3× 524 0.8× 116 0.3× 292 0.9× 154 0.6× 73 4.1k

Countries citing papers authored by Sungman Cha

Since Specialization
Citations

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

Fields of papers citing papers by Sungman Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungman Cha

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

All Works

20 of 20 papers shown
1.
Kim, Hyunwoo, et al.. (2025). Pressing extraction: A novel and environmentally sustainable approach to microbial lipid extraction from Yarrowia lipolytica. Separation and Purification Technology. 377. 134148–134148.
2.
Park, Hye-Min, Yeon-Soo Kim, Bo-Young Han, et al.. (2025). Engineering Yarrowia lipolytica for enhanced lipid productivity in nutrient-rich conditions: A scalable approach to microbial lipid production. Metabolic Engineering. 91. 302–312. 1 indexed citations
3.
Cha, Sungman, et al.. (2024). Advancements in Biological Conversion of C1 Feedstocks: Sustainable Bioproduction and Environmental Solutions. ACS Synthetic Biology. 13(12). 3788–3798. 5 indexed citations
4.
Kouni, Mahmoud H. el, et al.. (1990). Circadian rhythm of hepatic uridine phosphorylase activity and plasma concentration of uridine in mice. Biochemical Pharmacology. 40(11). 2479–2485. 44 indexed citations
5.
Naguib, Fardos N.M., Mahmoud H. el Kouni, & Sungman Cha. (1989). Structure-activity relationship of ligands of dihydrouracil dehydrogenase from mouse liver. Biochemical Pharmacology. 38(9). 1471–1480. 31 indexed citations
6.
Naguib, Fardos N.M., John G. Niedzwicki, Max H. Iltzsch, et al.. (1987). Effects of N,N-dimethylformamide and sodium butyrate on enzymes of pyrimidine metabolism in cultured human tumor cells. Leukemia Research. 11(10). 855–861. 12 indexed citations
7.
Kouni, Mahmoud H. el, Norma J. Messier, & Sungman Cha. (1987). Treatment of schistosomiasis by purine nucleoside analogues in combination with nucleoside transport inhibitors. Biochemical Pharmacology. 36(22). 3815–3821. 35 indexed citations
8.
Kouni, Mahmoud H. el & Sungman Cha. (1987). Metabolism of adenosine analogues by Schistosoma mansoni and the effect of nucleoside transport inhibitors. Biochemical Pharmacology. 36(7). 1099–1106. 23 indexed citations
9.
Niedzwicki, John G., Mahmoud H. el Kouni, Shih Hsi Chu, & Sungman Cha. (1983). Structure-activity relationship of ligands of the pyrimidine nucleoside phosphorylases. Biochemical Pharmacology. 32(3). 399–415. 99 indexed citations
10.
Kouni, Mahmoud H. el, et al.. (1983). Combination therapy of schistosomiasis by tubercidin and nitrobenzylthioinosine 5'-monophosphate.. Proceedings of the National Academy of Sciences. 80(21). 6667–6670. 49 indexed citations
11.
Niedzwicki, John G., Mahmoud H. el Kouni, Shih Hsi Chu, & Sungman Cha. (1981). Pyrimidine acyclonucleosides, inhibitors of uridine phosphorylase. Biochemical Pharmacology. 30(15). 2097–2101. 62 indexed citations
12.
Cha, Sungman, et al.. (1981). Tight binding inhibitors—IX. Biochemical Pharmacology. 30(12). 1507–1515. 15 indexed citations
13.
Kouni, Mahmoud H. el & Sungman Cha. (1981). A simple radioisotopic assay for nucleoside kinases employing alumina for separation of nucleosides and nucleotides. Analytical Biochemistry. 111(1). 67–71. 8 indexed citations
14.
Cha, Sungman, Ram P. Agarwal, & Robert E. Parks. (1975). Tight-binding inhibitors—II. Biochemical Pharmacology. 24(23). 2187–2197. 152 indexed citations
15.
Cha, Sungman, et al.. (1973). A new enzymatic method for the determination of inorganic phosphate and its application to the nucleoside diphosphatase assay. Analytical Biochemistry. 55(2). 379–387. 26 indexed citations
16.
Fulpius, Bernard W., Sungman Cha, Robert P. Klett, & E. Reich. (1972). Properties of the nicotinic acetylcholine receptor macromolecule of Electrophorus electricus. FEBS Letters. 24(3). 323–326. 40 indexed citations
17.
Cha, Sungman. (1968). Kinetics of Enzyme Reactions with Competing Alternative Substrates. Molecular Pharmacology. 4(6). 621–629. 48 indexed citations
18.
Cha, Sungman, et al.. (1968). Purine Nucleoside Phosphorylase from Human Erythrocytes. Journal of Biological Chemistry. 243(8). 1763–1770. 142 indexed citations
19.
Cha, Sungman, et al.. (1967). Succinic Thiokinase. Journal of Biological Chemistry. 242(11). 2582–2592. 29 indexed citations
20.
Cha, Sungman & Robert E. Parks. (1964). Succinic Thiokinase. Journal of Biological Chemistry. 239(6). 1961–1967. 84 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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