Badri Adhikari

1.6k total citations
31 papers, 956 citations indexed

About

Badri Adhikari is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Badri Adhikari has authored 31 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Badri Adhikari's work include Protein Structure and Dynamics (24 papers), Enzyme Structure and Function (19 papers) and Machine Learning in Bioinformatics (8 papers). Badri Adhikari is often cited by papers focused on Protein Structure and Dynamics (24 papers), Enzyme Structure and Function (19 papers) and Machine Learning in Bioinformatics (8 papers). Badri Adhikari collaborates with scholars based in United States, Australia and Italy. Badri Adhikari's co-authors include Jianlin Cheng, Jie Hou, Debswapna Bhattacharya, Renzhi Cao, Bikash Shrestha, Jilong Li, Dukka B. KC, Miao Sun, Tuan Trieu and Qiang Lyu and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Badri Adhikari

31 papers receiving 950 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Badri Adhikari United States 17 841 293 143 40 36 31 956
Naomi K. Fox United States 7 766 0.9× 226 0.8× 98 0.7× 39 1.0× 30 0.8× 9 855
Raphaël A. G. Chaleil United Kingdom 11 757 0.9× 188 0.6× 247 1.7× 42 1.1× 21 0.6× 19 1.0k
Rhys Heffernan Australia 14 1.4k 1.6× 286 1.0× 273 1.9× 29 0.7× 13 0.4× 15 1.5k
Noelia Ferruz Spain 12 652 0.8× 131 0.4× 117 0.8× 40 1.0× 21 0.6× 20 818
Dongbo Bu China 18 764 0.9× 143 0.5× 91 0.6× 26 0.7× 36 1.0× 85 930
Christopher Bystroff United States 16 1.0k 1.2× 490 1.7× 60 0.4× 59 1.5× 27 0.8× 29 1.1k
Ning Qian China 3 702 0.8× 164 0.6× 132 0.9× 17 0.4× 21 0.6× 6 889
Joshua Meier United States 4 1.3k 1.6× 125 0.4× 246 1.7× 96 2.4× 24 0.7× 7 1.6k
Rachel Kolodny Israel 19 1.3k 1.6× 580 2.0× 108 0.8× 66 1.6× 17 0.5× 44 1.5k
Bohdan Monastyrskyy United States 21 1.3k 1.5× 690 2.4× 175 1.2× 32 0.8× 12 0.3× 36 1.4k

Countries citing papers authored by Badri Adhikari

Since Specialization
Citations

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

Fields of papers citing papers by Badri Adhikari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Badri Adhikari

This figure shows the co-authorship network connecting the top 25 collaborators of Badri Adhikari. A scholar is included among the top collaborators of Badri Adhikari 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 Badri Adhikari. Badri Adhikari 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.
Adhikari, Badri. (2023). Thinking beyond Chatbots’ Threat to Education: Visualizations to Elucidate the Writing or Coding Process. Education Sciences. 13(9). 922–922. 3 indexed citations
2.
Adhikari, Badri, et al.. (2021). DISTEVAL: a web server for evaluating predicted protein distances. BMC Bioinformatics. 22(1). 8–8. 9 indexed citations
3.
Adhikari, Badri. (2020). A fully open-source framework for deep learning protein real-valued distances. Scientific Reports. 10(1). 13374–13374. 26 indexed citations
4.
Adhikari, Badri. (2019). DEEPCON: protein contact prediction using dilated convolutional neural networks with dropout. Bioinformatics. 36(2). 470–477. 30 indexed citations
5.
Hou, Jie, Badri Adhikari, John J. Tanner, & Jianlin Cheng. (2019). SAXSDom: Modeling multidomain protein structures using small‐angle X‐ray scattering data. Proteins Structure Function and Bioinformatics. 88(6). 775–787. 8 indexed citations
6.
7.
Adhikari, Badri & Jianlin Cheng. (2018). CONFOLD2: improved contact-driven ab initio protein structure modeling. BMC Bioinformatics. 19(1). 22–22. 55 indexed citations
8.
Adhikari, Badri, Jie Hou, & Jianlin Cheng. (2017). DNCON2: improved protein contact prediction using two-level deep convolutional neural networks. Bioinformatics. 34(9). 1466–1472. 124 indexed citations
9.
Hou, Jie, Badri Adhikari, & Jianlin Cheng. (2017). DeepSF: deep convolutional neural network for mapping protein sequences to folds. Bioinformatics. 34(8). 1295–1303. 121 indexed citations
10.
Adhikari, Badri, Jie Hou, & Jianlin Cheng. (2017). Protein contact prediction by integrating deep multiple sequence alignments, coevolution and machine learning. Proteins Structure Function and Bioinformatics. 86(S1). 84–96. 10 indexed citations
11.
Adhikari, Badri & Jianlin Cheng. (2017). Improved protein structure reconstruction using secondary structures, contacts at higher distance thresholds, and non-contacts. BMC Bioinformatics. 18(1). 380–380. 9 indexed citations
12.
Li, Haiou, Jie Hou, Badri Adhikari, Qiang Lyu, & Jianlin Cheng. (2017). Deep learning methods for protein torsion angle prediction. BMC Bioinformatics. 18(1). 417–417. 43 indexed citations
13.
Adhikari, Badri, Tuan Trieu, & Jianlin Cheng. (2016). Chromosome3D: reconstructing three-dimensional chromosomal structures from Hi-C interaction frequency data using distance geometry simulated annealing. BMC Genomics. 17(1). 886–886. 35 indexed citations
14.
Adhikari, Badri, et al.. (2016). ConEVA: a toolbox for comprehensive assessment of protein contacts. BMC Bioinformatics. 17(1). 517–517. 16 indexed citations
15.
Adhikari, Badri & Jianlin Cheng. (2016). Protein Residue Contacts and Prediction Methods. Methods in molecular biology. 1415. 463–476. 22 indexed citations
16.
Gandolfi, Barbara, William Darby, Badri Adhikari, et al.. (2016). A dominant TRPV4 variant underlies osteochondrodysplasia in Scottish fold cats. Osteoarthritis and Cartilage. 24(8). 1441–1450. 28 indexed citations
17.
Gandolfi, Barbara, Robert A. Grahn, Daniela Proverbio, et al.. (2016). A Novel Variant in CMAH Is Associated with Blood Type AB in Ragdoll Cats. PLoS ONE. 11(5). e0154973–e0154973. 26 indexed citations
18.
Adhikari, Badri, Debswapna Bhattacharya, Renzhi Cao, & Jianlin Cheng. (2015). CONFOLD: Residue-residue contact-guidedab initioprotein folding. Proteins Structure Function and Bioinformatics. 83(8). 1436–1449. 100 indexed citations
19.
Cao, Renzhi, Debswapna Bhattacharya, Badri Adhikari, Jilong Li, & Jianlin Cheng. (2015). Massive integration of diverse protein quality assessment methods to improve template based modeling in CASP11. Proteins Structure Function and Bioinformatics. 84(S1). 247–259. 18 indexed citations
20.
Li, Jilong, Debswapna Bhattacharya, Renzhi Cao, et al.. (2013). The MULTICOM Protein Tertiary Structure Prediction System. Methods in molecular biology. 1137. 29–41. 8 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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