Nilambra Dogra

24 total papers · 627 total citations
17 papers, 524 citations indexed

About

Nilambra Dogra is a scholar working on Molecular Biology, Cancer Research and Organic Chemistry. According to data from OpenAlex, Nilambra Dogra has authored 17 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Organic Chemistry. Recurrent topics in Nilambra Dogra's work include Mitochondrial Function and Pathology (3 papers), Cancer Mechanisms and Therapy (3 papers) and Synthesis and biological activity (3 papers). Nilambra Dogra is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Cancer Mechanisms and Therapy (3 papers) and Synthesis and biological activity (3 papers). Nilambra Dogra collaborates with scholars based in India, Denmark and Pakistan. Nilambra Dogra's co-authors include Sandeep Singh, Tapas Mukhopadhyay, Ashok Kumar, Praveen Sharma, Madhu Khullar, Uma Nahar Saikia, Bhupinder Kumar, Vinod Kumar, Rajnish Kumar and Ramandeep Kaur and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Nilambra Dogra

17 papers receiving 514 citations

Author Peers

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

Author Last Decade Papers Cites
Nilambra Dogra 260 144 119 71 38 17 524
Carla T. Helaszek 345 1.3× 86 0.6× 76 0.6× 112 1.6× 60 1.6× 17 568
Chang‐Ho Ahn 255 1.0× 74 0.5× 56 0.5× 82 1.2× 30 0.8× 33 452
Márcio F.M. Alves 204 0.8× 54 0.4× 76 0.6× 74 1.0× 29 0.8× 20 556
Katharina R. Beck 181 0.7× 44 0.3× 48 0.4× 41 0.6× 49 1.3× 22 532
Salwa Sabet 218 0.8× 72 0.5× 108 0.9× 99 1.4× 72 1.9× 33 594
Jennifer M. Pearson 291 1.1× 85 0.6× 29 0.2× 81 1.1× 35 0.9× 22 546
Zhaohui Meng 304 1.2× 37 0.3× 49 0.4× 45 0.6× 26 0.7× 36 534
Leticia González‐Maya 291 1.1× 55 0.4× 35 0.3× 32 0.5× 11 0.3× 32 472
Wei Tian 309 1.2× 73 0.5× 130 1.1× 107 1.5× 17 0.4× 14 577
Ke Si Wang 330 1.3× 62 0.4× 115 1.0× 71 1.0× 54 1.4× 15 550

Countries citing papers authored by Nilambra Dogra

Since Specialization
Citations

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

Fields of papers citing papers by Nilambra Dogra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilambra Dogra

This figure shows the co-authorship network connecting the top 25 collaborators of Nilambra Dogra. A scholar is included among the top collaborators of Nilambra Dogra 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 Nilambra Dogra. Nilambra Dogra 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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