Fandi Sutanto

496 total citations
9 papers, 343 citations indexed

About

Fandi Sutanto is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Fandi Sutanto has authored 9 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Organic Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Fandi Sutanto's work include Chemical Synthesis and Analysis (4 papers), Computational Drug Discovery Methods (3 papers) and Synthesis and Characterization of Heterocyclic Compounds (2 papers). Fandi Sutanto is often cited by papers focused on Chemical Synthesis and Analysis (4 papers), Computational Drug Discovery Methods (3 papers) and Synthesis and Characterization of Heterocyclic Compounds (2 papers). Fandi Sutanto collaborates with scholars based in Netherlands, United States and Indonesia. Fandi Sutanto's co-authors include Alexander Dömlingꝉ, Markella Konstantinidou, Shabnam Shaabani, Pravin Patil, Tryfon Zarganes‐Tzitzikas, Constantinos G. Neochoritis, Katarzyna Kurpiewska, Justyna Kalinowska‐Tłuścik, Deniz Eriş and Matthew R. Groves and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Science Advances.

In The Last Decade

Fandi Sutanto

8 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fandi Sutanto Netherlands	6	204	163	69	53	28	9	343
John Strelow United States	7	247 1.2×	129 0.8×	84 1.2×	65 1.2×	22 0.8×	9	365
László Petri Hungary	11	286 1.4×	231 1.4×	104 1.5×	76 1.4×	19 0.7×	25	408
Jessica Plescia Canada	6	124 0.6×	142 0.9×	82 1.2×	50 0.9×	54 1.9×	8	303
Essam Eldin A. Osman Egypt	12	162 0.8×	202 1.2×	51 0.7×	74 1.4×	37 1.3×	19	403
Chunjian Liu United States	11	152 0.7×	245 1.5×	47 0.7×	64 1.2×	18 0.6×	16	401
Mengqi Zhong United States	7	313 1.5×	116 0.7×	88 1.3×	57 1.1×	12 0.4×	9	392
Michael Z. Hoemann United States	10	152 0.7×	208 1.3×	40 0.6×	54 1.0×	22 0.8×	14	367
Mihiret T. Sisay Germany	9	214 1.0×	83 0.5×	118 1.7×	53 1.0×	15 0.5×	12	365
Cameron Stuver Moody United States	10	200 1.0×	100 0.6×	62 0.9×	38 0.7×	44 1.6×	11	294
Savithri Ramurthy United States	12	284 1.4×	194 1.2×	93 1.3×	85 1.6×	12 0.4×	17	405

Countries citing papers authored by Fandi Sutanto

Since Specialization

Citations

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

Fields of papers citing papers by Fandi Sutanto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fandi Sutanto

This figure shows the co-authorship network connecting the top 25 collaborators of Fandi Sutanto. A scholar is included among the top collaborators of Fandi Sutanto 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 Fandi Sutanto. Fandi Sutanto 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.

Parikesit, Arli Aditya, et al.. (2024). In silico testing of C9H12ClNO2 and C6H5Cl2NO as derivatives of acetaminophen using molecular docking method. SHILAP Revista de lepidopterología. 16(1). 11632–11632.

2.

Sutanto, Fandi, et al.. (2023). Cytotoxic Activity of Indonesian Pogonatum neesii Dozy from Cibodas Botanical Garden: In Silico Molecular Docking and In Vitro Evaluation. Pharmaceutical Sciences. 29(4). 448–458. 1 indexed citations

3.

Sutanto, Fandi, Shabnam Shaabani, Constantinos G. Neochoritis, et al.. (2021). Multicomponent reaction–derived covalent inhibitor space. Science Advances. 7(6). 32 indexed citations

4.

Sutanto, Fandi, Shabnam Shaabani, Rick Oerlemans, et al.. (2021). Combining High‐Throughput Synthesis and High‐Throughput Protein Crystallography for Accelerated Hit Identification. Angewandte Chemie. 133(33). 18379–18387. 4 indexed citations

5.

Sutanto, Fandi, Shabnam Shaabani, Rick Oerlemans, et al.. (2021). Combining High‐Throughput Synthesis and High‐Throughput Protein Crystallography for Accelerated Hit Identification. Angewandte Chemie International Edition. 60(33). 18231–18239. 24 indexed citations

6.

Konstantinidou, Markella, Fandi Sutanto, Jörg Haupenthal, et al.. (2020). Rapid Discovery of Aspartyl Protease Inhibitors Using an Anchoring Approach. ChemMedChem. 15(8). 680–684. 5 indexed citations

7.

Sutanto, Fandi, Markella Konstantinidou, & Alexander Dömlingꝉ. (2020). Covalent inhibitors: a rational approach to drug discovery. RSC Medicinal Chemistry. 11(8). 876–884. 251 indexed citations

8.

Konstantinidou, Markella, et al.. (2019). Sequential Multicomponent Synthesis of 2‐(Imidazo[1,5‐α]pyridin‐1‐yl)‐1,3,4‐Oxadiazoles. European Journal of Organic Chemistry. 2019(10). 2029–2034. 5 indexed citations

9.

Sutanto, Fandi, et al.. (2018). Multicomponent Reaction Based Synthesis of 1-Tetrazolylimidazo[1,5-a]pyridines. Organic Letters. 20(13). 3871–3874. 21 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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