Rachana Nagar

461 total citations · 1 hit paper
7 papers, 285 citations indexed

About

Rachana Nagar is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Rachana Nagar has authored 7 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Rachana Nagar's work include Iron Metabolism and Disorders (4 papers), Hemoglobinopathies and Related Disorders (3 papers) and RNA modifications and cancer (3 papers). Rachana Nagar is often cited by papers focused on Iron Metabolism and Disorders (4 papers), Hemoglobinopathies and Related Disorders (3 papers) and RNA modifications and cancer (3 papers). Rachana Nagar collaborates with scholars based in India and United States. Rachana Nagar's co-authors include Luis A. Martinez, Suchandrima Saha, Tomoo Iwakuma, Alejandro Parrales, Monisankar Ghosh, Julie A. Bettke, Adrianus W. M. van der Velden, Rajiva Raman, Sujata Sinha and Valentina A. Schmidt and has published in prestigious journals such as Cancer Cell, International Journal of Molecular Sciences and Blood Cells Molecules and Diseases.

In The Last Decade

Rachana Nagar

7 papers receiving 284 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mutant p53 suppresses innate immune signaling to promote tumorigenesis

2021 227 citations Monisankar Ghosh, Suchandrima Saha et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rachana Nagar India	5	128	114	104	65	36	7	285
Kristina Drott Sweden	13	196 1.5×	109 1.0×	100 1.0×	51 0.8×	33 0.9×	24	338
Christine Schneckenleithner Austria	7	175 1.4×	82 0.7×	129 1.2×	81 1.2×	82 2.3×	8	346
Valentina Cordo’ Netherlands	9	135 1.1×	46 0.4×	66 0.6×	42 0.6×	52 1.4×	15	262
Carlotta Massucco Italy	4	83 0.6×	51 0.4×	54 0.5×	68 1.0×	15 0.4×	6	210
Miori Inoue Japan	7	241 1.9×	74 0.6×	102 1.0×	47 0.7×	121 3.4×	10	365
Bhumi Patel United States	7	150 1.2×	80 0.7×	78 0.8×	23 0.4×	105 2.9×	9	378
Émilie Jacque France	8	125 1.0×	147 1.3×	75 0.7×	108 1.7×	19 0.5×	12	297
Ai Ikejiri Japan	5	115 0.9×	247 2.2×	59 0.6×	34 0.5×	14 0.4×	6	358
Rinat Eshel Israel	9	119 0.9×	87 0.8×	147 1.4×	33 0.5×	40 1.1×	19	325
Stephen K. H. Li Canada	7	140 1.1×	106 0.9×	94 0.9×	61 0.9×	26 0.7×	12	293

Countries citing papers authored by Rachana Nagar

Since Specialization

Citations

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

Fields of papers citing papers by Rachana Nagar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachana Nagar

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Ghosh, Monisankar, Suchandrima Saha, Julie A. Bettke, et al.. (2021). Mutant p53 suppresses innate immune signaling to promote tumorigenesis. Cancer Cell. 39(4). 494–508.e5. 227 indexed citations breakdown →

2.

Ghosh, Monisankar, Suchandrima Saha, Julie A. Bettke, et al.. (2020). Mutant p53 Suppresses Innate Immune Signaling to Promote Tumorigenesis. SSRN Electronic Journal. 1 indexed citations

3.

Schmidt, Valentina A., Rachana Nagar, & Luis A. Martinez. (2017). Control of Nucleotide Metabolism Enables Mutant p53’s Oncogenic Gain-of-Function Activity. International Journal of Molecular Sciences. 18(12). 2759–2759. 13 indexed citations

4.

Nagar, Rachana, Sujata Sinha, & Rajiva Raman. (2015). Genotype–phenotype correlation and report of novel mutations in β-globin gene in thalassemia patients. Blood Cells Molecules and Diseases. 55(1). 10–14. 11 indexed citations

5.

Nagar, Rachana & Rajiva Raman. (2015). Diversity of sickle cell trait in Jharkhand state in India: Is it the zone of contact between two geographically and ethnically distinct populations in India?. Journal of Biosciences. 40(3). 539–547. 1 indexed citations

6.

Nagar, Rachana, Sujata Sinha, & Rajiva Raman. (2014). Haemoglobinopathies in eastern Indian states: a demographic evaluation. Journal of Community Genetics. 6(1). 1–8. 16 indexed citations

7.

Nagar, Rachana, et al.. (2013). Vitamin-B12 and folate deficiency, major contributing factors for anemia: A population based study. 9(1). e45–e48. 16 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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