Rachna Ujwal

1.0k total citations
10 papers, 857 citations indexed

About

Rachna Ujwal is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, Rachna Ujwal has authored 10 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Clinical Biochemistry. Recurrent topics in Rachna Ujwal's work include Metabolomics and Mass Spectrometry Studies (5 papers), Mitochondrial Function and Pathology (5 papers) and Lipid Membrane Structure and Behavior (3 papers). Rachna Ujwal is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Mitochondrial Function and Pathology (5 papers) and Lipid Membrane Structure and Behavior (3 papers). Rachna Ujwal collaborates with scholars based in United States, Sweden and Czechia. Rachna Ujwal's co-authors include Jeff Abramson, Peipei Ping, Duilio Cascio, Jun Zhang, Jacques‐Philippe Colletier, Salem Faham, Ligia Toro, James U. Bowie, Om Prakash Choudhary and Rob D. Coalson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Rachna Ujwal

10 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachna Ujwal United States 9 778 144 137 92 48 10 857
Saskia Villinger Germany 7 638 0.8× 91 0.6× 99 0.7× 95 1.0× 47 1.0× 8 714
Robert Garces United States 7 812 1.0× 119 0.8× 107 0.8× 70 0.8× 41 0.9× 8 995
Monika Bayrhuber Germany 9 683 0.9× 89 0.6× 89 0.6× 73 0.8× 38 0.8× 11 775
Kirill Oxenoid United States 14 853 1.1× 187 1.3× 120 0.9× 24 0.3× 86 1.8× 15 993
Koyeli Mapa India 16 737 0.9× 66 0.5× 23 0.2× 89 1.0× 118 2.5× 35 861
Stefan Stoldt Germany 14 571 0.7× 23 0.2× 39 0.3× 102 1.1× 38 0.8× 23 801
M J Liao United States 12 546 0.7× 84 0.6× 378 2.8× 16 0.2× 39 0.8× 19 795
Satyan Sharma Germany 15 505 0.6× 43 0.3× 54 0.4× 15 0.2× 54 1.1× 23 681
Chimari Jiko Japan 8 399 0.5× 84 0.6× 27 0.2× 34 0.4× 16 0.3× 11 474
Jonathan P. Schlebach United States 18 645 0.8× 67 0.5× 205 1.5× 13 0.1× 36 0.8× 39 819

Countries citing papers authored by Rachna Ujwal

Since Specialization
Citations

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

Fields of papers citing papers by Rachna Ujwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachna Ujwal

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

All Works

10 of 10 papers shown
1.
Ujwal, Rachna & Jeff Abramson. (2012). High-throughput Crystallization of Membrane Proteins Using the Lipidic Bicelle Method. Journal of Visualized Experiments. e3383–e3383. 21 indexed citations
2.
Teijido, Oscar, et al.. (2012). Affixing N-terminal α-Helix to the Wall of the Voltage-dependent Anion Channel Does Not Prevent Its Voltage Gating. Journal of Biological Chemistry. 287(14). 11437–11445. 65 indexed citations
3.
Ujwal, Rachna & Jeff Abramson. (2012). High-throughput Crystallization of Membrane Proteins Using the Lipidic Bicelle Method. Journal of Visualized Experiments. 8 indexed citations
4.
Ujwal, Rachna & James U. Bowie. (2011). Crystallizing membrane proteins using lipidic bicelles. Methods. 55(4). 337–341. 98 indexed citations
5.
Chaptal, Vincent, et al.. (2010). Fluorescence Detection of Heavy Atom Labeling (FD-HAL): A rapid method for identifying covalently modified cysteine residues by phasing atoms. Journal of Structural Biology. 171(1). 82–87. 9 indexed citations
6.
Ryan, Christopher M., Puneet Souda, Sara Bassilian, et al.. (2010). Post-translational Modifications of Integral Membrane Proteins Resolved by Top-down Fourier Transform Mass Spectrometry with Collisionally Activated Dissociation. Molecular & Cellular Proteomics. 9(5). 791–803. 85 indexed citations
7.
Choudhary, Om Prakash, et al.. (2010). The Electrostatics of VDAC: Implications in Selectivity and Gating. Biophysical Journal. 98(3). 53a–53a. 1 indexed citations
8.
Ujwal, Rachna, Duilio Cascio, Vincent Chaptal, Peipei Ping, & Jeff Abramson. (2009). Crystal packing analysis of murine VDAC1 crystals in a lipidic environment reveals novel insights on oligomerization and orientation. Channels. 3(3). 167–170. 43 indexed citations
9.
Choudhary, Om Prakash, et al.. (2009). The Electrostatics of VDAC: Implications for Selectivity and Gating. Journal of Molecular Biology. 396(3). 580–592. 78 indexed citations
10.
Ujwal, Rachna, Duilio Cascio, Jacques‐Philippe Colletier, et al.. (2008). The crystal structure of mouse VDAC1 at 2.3 Å resolution reveals mechanistic insights into metabolite gating. Proceedings of the National Academy of Sciences. 105(46). 17742–17747. 449 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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