Rachna Ujwal

20 total papers · 1.0k total citations
10 papers, 853 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 853 indexed citations (citations by other indexed papers that have themselves been cited), including 9 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 Mitochondrial Function and Pathology (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Metabolism and Genetic Disorders (3 papers). Rachna Ujwal is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Metabolism and Genetic Disorders (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, Jacques‐Philippe Colletier, Salem Faham, Jun Zhang, Ligia Toro, James U. Bowie, Rob D. Coalson and Om Prakash Choudhary 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 846 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rachna Ujwal	776	145	136	92	48	10	853
Saskia Villinger	635 0.8×	91 0.6×	99 0.7×	95 1.0×	46 1.0×	8	711
Robert Garces	810 1.0×	118 0.8×	107 0.8×	70 0.8×	41 0.9×	8	993
Monika Bayrhuber	681 0.9×	89 0.6×	89 0.7×	73 0.8×	38 0.8×	11	773
Anne Christine Dianoux	698 0.9×	117 0.8×	62 0.5×	38 0.4×	76 1.6×	16	1.0k
M.Yu. Feigina	548 0.7×	168 1.2×	376 2.8×	48 0.5×	124 2.6×	14	828
L. M. Tsofina	630 0.8×	69 0.5×	217 1.6×	59 0.6×	40 0.8×	9	823
Kirill Oxenoid	852 1.1×	187 1.3×	120 0.9×	24 0.3×	86 1.8×	15	991
Karol Kaszuba	824 1.1×	28 0.2×	86 0.6×	55 0.6×	63 1.3×	17	975
Dora Mahečić	576 0.7×	54 0.4×	51 0.4×	97 1.1×	72 1.5×	9	918
J Yang	458 0.6×	97 0.7×	124 0.9×	16 0.2×	37 0.8×	20	731

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

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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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