J. R. Einstein

938 total citations
48 papers, 603 citations indexed

About

J. R. Einstein is a scholar working on Molecular Biology, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, J. R. Einstein has authored 48 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Materials Chemistry and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in J. R. Einstein's work include Enzyme Structure and Function (8 papers), Genomics and Phylogenetic Studies (7 papers) and Machine Learning in Bioinformatics (6 papers). J. R. Einstein is often cited by papers focused on Enzyme Structure and Function (8 papers), Genomics and Phylogenetic Studies (7 papers) and Machine Learning in Bioinformatics (6 papers). J. R. Einstein collaborates with scholars based in United States, Canada and Denmark. J. R. Einstein's co-authors include Richard Mural, C. H. Wei, Manesh Shah, Edward C. Uberbacher, Ying Xu, Chin Hsuan Wei, Dong Xu, Ying Xu, Ying Xu and Oakley H. Crawford and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

J. R. Einstein

45 papers receiving 560 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. R. Einstein United States 15 365 114 43 41 41 48 603
Jörgen Nordberg Sweden 9 276 0.8× 88 0.8× 13 0.3× 115 2.8× 44 1.1× 28 656
Xuwen Wang China 16 409 1.1× 95 0.8× 78 1.8× 32 0.8× 23 0.6× 72 863
Chloé‐Agathe Azencott France 11 440 1.2× 144 1.3× 70 1.6× 20 0.5× 12 0.3× 24 785
Cuifang Zhang China 13 162 0.4× 25 0.2× 18 0.4× 11 0.3× 42 1.0× 52 529
Tomas P. Flores United Kingdom 11 807 2.2× 440 3.9× 21 0.5× 14 0.3× 12 0.3× 15 861
Helen M. Grindley United Kingdom 10 410 1.1× 228 2.0× 32 0.7× 17 0.4× 8 0.2× 15 559
Krzysztof Rataj Poland 10 677 1.9× 116 1.0× 25 0.6× 10 0.2× 28 0.7× 15 870
Qi Hu China 15 644 1.8× 48 0.4× 33 0.8× 26 0.6× 34 0.8× 30 999
Antonio de la Vega de León Spain 16 220 0.6× 82 0.7× 28 0.7× 12 0.3× 10 0.2× 44 756
Christoffer Norn United States 13 878 2.4× 154 1.4× 22 0.5× 7 0.2× 66 1.6× 18 1.1k

Countries citing papers authored by J. R. Einstein

Since Specialization
Citations

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

Fields of papers citing papers by J. R. Einstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. R. Einstein

This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Einstein. A scholar is included among the top collaborators of J. R. Einstein 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. R. Einstein. J. R. Einstein 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.
Devineni, Anita V., J. R. Einstein, Mark M. Metzstein, et al.. (2025). dArc1 controls sugar reward valuation in Drosophila melanogaster. Current Biology. 35(17). 4188–4198.e7.
2.
Erlendsson, Simon, Manvendra Singh, J. R. Einstein, et al.. (2024). PNMA2 forms immunogenic non-enveloped virus-like capsids associated with paraneoplastic neurological syndrome. Cell. 187(4). 831–845.e19. 12 indexed citations
3.
Yu, Yanxun V., et al.. (2011). Targeting the motor regulator Klar to lipid droplets. BMC Cell Biology. 12(1). 9–9. 33 indexed citations
4.
Mann, R.C., et al.. (2003). An intelligent integrated sensor system for the ORNL mobile robot. 937. 170–173. 2 indexed citations
5.
Helt, Gregg, et al.. (2002). Drosophila GRAIL: an intelligent system for gene recognition in Drosophila DNA sequences. 16. 128–135. 2 indexed citations
6.
Xu, Ying, Dong Xu, Oakley H. Crawford, J. R. Einstein, & Engin H. Serpersu. (2000). Protein structure determination using protein threading and sparse NMR data (extended abstract). 299–307. 10 indexed citations
7.
Xu, Ying, Dong Xu, Oakley H. Crawford, & J. R. Einstein. (2000). A Computational Method for NMR-Constrained Protein Threading. Journal of Computational Biology. 7(3-4). 449–467. 16 indexed citations
8.
Crawford, Oakley H., J. R. Einstein, Dong Xu, & Ying Xu. (1999). Protein Structure Determination Using Protein Threading and Sparse NMR Data. University of North Texas Digital Library (University of North Texas). 11 indexed citations
9.
Xu, Ying, Dong Xu, Oakley H. Crawford, et al.. (1999). Protein threading by PROSPECT: a prediction experiment in CASP3. Protein Engineering Design and Selection. 12(11). 899–907. 20 indexed citations
10.
Xu, Ying, Manesh Shah, Xiaojun Guan, et al.. (1996). Detection of RNA polymerase II promoters and polyadenylation sites in human DNA sequence. Computers & Chemistry. 20(1). 135–140. 23 indexed citations
11.
Xu, Ying, Richard Mural, J. R. Einstein, Manesh Shah, & Edward C. Uberbacher. (1996). GRAIL: a multi-agent neural network system for gene identification. Proceedings of the IEEE. 84(10). 1544–1552. 38 indexed citations
12.
Einstein, J. R., et al.. (1993). GENE RECOGNITION AND ASSEMBLY IN THE GRAIL SYSTEM: PROGRESS AND CHALLENGES. 465–476. 7 indexed citations
13.
Mural, Richard, J. R. Einstein, Xiaojun Guan, R.C. Mann, & Edward C. Uberbacher. (1992). An artificial intelligence approach to DNA sequence feature recognition. Trends in biotechnology. 10(1-2). 66–69. 26 indexed citations
14.
Weisbin, C.R., et al.. (1990). Hermies-III: A step toward autonomous mobility, manipulation and perception. Robotica. 8(1). 7–12. 17 indexed citations
15.
Wei, C. H., et al.. (1979). Preliminary crystallographic data for Bowman-Birk inhibitor from soybean seeds.. Journal of Biological Chemistry. 254(11). 4892–4894. 5 indexed citations
16.
Einstein, J. R.. (1977). An improved method for combining isomorphous replacement and anomalous scattering diffraction data for macromolecular crystals. Acta Crystallographica Section A. 33(1). 75–85. 5 indexed citations
17.
Wei, Chin Hsuan & J. R. Einstein. (1974). Preliminary Crystallographic Data for a New Crystalline Form of Abrin. Journal of Biological Chemistry. 249(9). 2985–2986. 10 indexed citations
18.
Einstein, J. R.. (1970). Elimination of spot doubling in precession photography without layer-line screens. Journal of Applied Crystallography. 3(3). 180–181. 2 indexed citations
19.
Solomon, Alan, Carla L. McLaughlin, Chin Hsuan Wei, & J. R. Einstein. (1970). Bence-Jones Proteins and Light Chains of Immunoglobulins. Journal of Biological Chemistry. 245(20). 5289–5291. 21 indexed citations
20.
Shoemaker, C. B., J. R. Einstein, & Β. W. Low. (1961). The three-dimensional Patterson function for insulin sulfate type A crystals. Acta Crystallographica. 14(5). 459–467. 3 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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