J. Sakon

2.2k total citations
50 papers, 1.8k citations indexed

About

J. Sakon is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, J. Sakon has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Biomedical Engineering and 9 papers in Materials Chemistry. Recurrent topics in J. Sakon's work include Biofuel production and bioconversion (8 papers), Enzyme Structure and Function (6 papers) and Advanced Cellulose Research Studies (6 papers). J. Sakon is often cited by papers focused on Biofuel production and bioconversion (8 papers), Enzyme Structure and Function (6 papers) and Advanced Cellulose Research Studies (6 papers). J. Sakon collaborates with scholars based in United States, Japan and Russia. J. Sakon's co-authors include P. Andrew Karplus, Diana Irwin, David B. Wilson, Michael E. Himmel, William S. Adney, Steven R. Thomas, Osamu Matsushita, Robert Gensure, Ranjitha Katikaneni and Tulasi Ponnapakkam and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

In The Last Decade

J. Sakon

49 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Sakon United States 21 903 643 570 290 277 50 1.8k
V.V. Lunin United States 22 1.2k 1.3× 553 0.9× 394 0.7× 369 1.3× 122 0.4× 49 1.9k
Chenming Zhang United States 26 802 0.9× 301 0.5× 325 0.6× 150 0.5× 285 1.0× 77 1.7k
Gérard Tiraby France 27 1.5k 1.6× 382 0.6× 393 0.7× 229 0.8× 50 0.2× 66 2.7k
Nick Geukens Belgium 24 903 1.0× 387 0.6× 214 0.4× 85 0.3× 150 0.5× 86 1.9k
Shinji Iijima Japan 27 1.8k 2.0× 529 0.8× 317 0.6× 104 0.4× 116 0.4× 171 2.6k
Plamen P. Christov United States 20 986 1.1× 302 0.5× 165 0.3× 109 0.4× 143 0.5× 51 1.8k
Germán L. Rosano Argentina 12 1.9k 2.1× 188 0.3× 364 0.6× 191 0.7× 84 0.3× 24 2.4k
Ahmed Majeed Al-Shammari Iraq 23 480 0.5× 312 0.5× 127 0.2× 119 0.4× 186 0.7× 105 1.6k
Miroslav Baudyš Czechia 24 1.0k 1.1× 313 0.5× 221 0.4× 103 0.4× 612 2.2× 54 2.5k

Countries citing papers authored by J. Sakon

Since Specialization
Citations

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

Fields of papers citing papers by J. Sakon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Sakon

This figure shows the co-authorship network connecting the top 25 collaborators of J. Sakon. A scholar is included among the top collaborators of J. Sakon 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 J. Sakon. J. Sakon 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.
Andrews, Joseph, J. Sakon, & Chenguang Fan. (2025). Crystal structures of Escherichia coli glucokinase and insights into phosphate binding. Acta Crystallographica Section F Structural Biology Communications. 81(8). 332–337.
2.
Graf, David, Rabindra Basnet, J. Sakon, et al.. (2025). Large negative magnetoresistance in antiferromagnetic Gd2Se3. Physical review. B.. 111(1). 1 indexed citations
3.
Pandey, K. C., et al.. (2025). Large negative magnetoresistance in the off-stoichiometric topological semimetal PrSbxTe2−x. Physical review. B.. 111(2). 1 indexed citations
4.
Graf, David, et al.. (2025). Quantum oscillation studies of the nodal line semimetal Ni3In2S2-Se. Acta Materialia. 289. 120884–120884. 1 indexed citations
5.
Kandhola, Gurshagan, Kalavathy Rajan, Nicole Labbé, et al.. (2022). Impact of species-based wood feedstock variability on physicochemical properties of cellulose nanocrystals. Cellulose. 29(15). 8213–8228. 8 indexed citations
6.
Rajan, Kalavathy, Gurshagan Kandhola, Nicole Labbé, et al.. (2020). Investigating the effects of hemicellulose pre-extraction on the production and characterization of loblolly pine nanocellulose. Cellulose. 27(7). 3693–3706. 40 indexed citations
7.
Kandhola, Gurshagan, Kalavathy Rajan, Nicole Labbé, et al.. (2020). Maximizing production of cellulose nanocrystals and nanofibers from pre-extracted loblolly pine kraft pulp: a response surface approach. Bioresources and Bioprocessing. 7(1). 76 indexed citations
8.
9.
Janowska, Katarzyna, Kelly Taylor, Brad Jordan, et al.. (2015). Structures of three polycystic kidney disease-like domains fromClostridium histolyticumcollagenases ColG and ColH. Acta Crystallographica Section D Biological Crystallography. 71(3). 565–577. 19 indexed citations
10.
Ponnapakkam, Tulasi, Ranjitha Katikaneni, J. Sakon, Robert E. Stratford, & Robert Gensure. (2013). Treating osteoporosis by targeting parathyroid hormone to bone. Drug Discovery Today. 19(3). 204–208. 62 indexed citations
11.
Katikaneni, Ranjitha, Daniel Suh, J. Sakon, et al.. (2013). Therapy for Alopecia Areata in Mice Using Parathyroid Hormone Agonists and Antagonists, Linked to a Collagen-Binding Domain. Journal of Investigative Dermatology Symposium Proceedings. 16(1). S61–S62. 4 indexed citations
12.
13.
Koide, Takaki, et al.. (2012). Bacterial collagen‐binding domain targets undertwisted regions of collagen. Protein Science. 21(10). 1554–1565. 25 indexed citations
14.
Katikaneni, Ranjitha, Tulasi Ponnapakkam, Shigeru Miyata, et al.. (2011). Treatment for chemotherapy‐induced alopecia in mice using parathyroid hormone agonists and antagonists linked to a collagen binding domain. International Journal of Cancer. 131(5). E813–21. 21 indexed citations
15.
Rajalingam, Dakshinamurthy, et al.. (2010). Characterization of the Minimalistic Fgf-D2 Domain Interface. Biophysical Journal. 98(3). 32a–32a. 6 indexed citations
16.
Matsushita, Osamu, et al.. (2008). 1H, 13C and 15N resonance assignments of Ca2+ bound collagen-binding domain derived from a clostridial collagenase. Biomolecular NMR Assignments. 2(2). 127–129. 8 indexed citations
17.
Chen, Junmei, Zhiqiang Lu, J. Sakon, & Wesley E. Stites. (2004). Proteins with simplified hydrophobic cores compared to other packing mutants. Biophysical Chemistry. 110(3). 239–248. 7 indexed citations
18.
Kight, Alicia, Robyn L. Goforth, Misty Moore, et al.. (2002). ATP Stimulates Signal Recognition Particle (SRP)/FtsY-supported Protein Integration in Chloroplasts. Journal of Biological Chemistry. 277(35). 32400–32404. 29 indexed citations
19.
Chen, Junmei, Zhiqiang Lu, J. Sakon, & Wesley E. Stites. (2000). Increasing the thermostability of staphylococcal nuclease: implications for the origin of protein thermostability. Journal of Molecular Biology. 303(2). 125–130. 111 indexed citations
20.
Sakon, J., Diana Irwin, David B. Wilson, & P. Andrew Karplus. (1997). Structure and mechanism of endo/exocellulase E4 from Thermomonospora fusca. Nature Structural Biology. 4(10). 810–818. 311 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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