Neetu Saxena

681 total citations
18 papers, 368 citations indexed

About

Neetu Saxena is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Neetu Saxena has authored 18 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Surgery. Recurrent topics in Neetu Saxena's work include Testicular diseases and treatments (4 papers), Sarcoma Diagnosis and Treatment (4 papers) and Renal cell carcinoma treatment (3 papers). Neetu Saxena is often cited by papers focused on Testicular diseases and treatments (4 papers), Sarcoma Diagnosis and Treatment (4 papers) and Renal cell carcinoma treatment (3 papers). Neetu Saxena collaborates with scholars based in Canada, United States and India. Neetu Saxena's co-authors include Anamika Singh, Tracey A. Rouault, Nunziata Maio, Wing-Hang Tong, Helge Uhrigshardt, Martin Gleave, Syam Prakash Somasekharan, Poul H. Sorensen, Christopher J. Ricketts and J. Keith Killian and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Neetu Saxena

17 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neetu Saxena Canada 8 251 97 71 48 37 18 368
Marie-Lise Lacombe France 7 452 1.8× 38 0.4× 14 0.2× 65 1.4× 15 0.4× 8 509
Jacob R. Hartman Israel 8 284 1.1× 65 0.7× 13 0.2× 14 0.3× 16 0.4× 9 419
Elie Kostantin Canada 9 335 1.3× 161 1.7× 9 0.1× 16 0.3× 15 0.4× 12 511
H-S Hsu Taiwan 6 228 0.9× 120 1.2× 12 0.2× 85 1.8× 43 1.2× 6 441
Katharina Lohrig Germany 8 172 0.7× 52 0.5× 6 0.1× 68 1.4× 14 0.4× 8 319
Jian Ni China 10 197 0.8× 83 0.9× 5 0.1× 35 0.7× 40 1.1× 29 378
Jinye Xu China 9 232 0.9× 144 1.5× 17 0.2× 18 0.4× 21 0.6× 11 339
Hsi-Wen Yeh United States 6 222 0.9× 94 1.0× 5 0.1× 54 1.1× 10 0.3× 7 332
Paola Faraoni Italy 11 217 0.9× 77 0.8× 4 0.1× 52 1.1× 43 1.2× 27 403
Lauren Endres United States 9 437 1.7× 109 1.1× 15 0.2× 15 0.3× 18 0.5× 11 494

Countries citing papers authored by Neetu Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Neetu Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neetu Saxena

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

All Works

18 of 18 papers shown
1.
Nappi, Lucia, Neetu Saxena, Sylwia Mazurek, et al.. (2023). Longitudinal evaluation of plasma miR371 to detect minimal residual disease and early relapse of germ cell tumors.. Journal of Clinical Oncology. 41(6_suppl). 407–407.
2.
Beraldi, Eliana, Fan Zhang, Hans Adomat, et al.. (2023). Chaperone-mediated autophagy promotes PCa survival during ARPI through selective proteome remodeling. Oncogene. 42(10). 748–758. 4 indexed citations
3.
Nappi, Lucia, Neetu Saxena, Sylwia Mazurek, et al.. (2023). Long term follow-up analysis of plasma miR371 expression to detect early relapse in patients with clinical stage I testicular germ cell tumors on surveillance.. Journal of Clinical Oncology. 41(16_suppl). 5006–5006. 1 indexed citations
4.
Bacon, Jack V. W., Patrizia Giannatempo, Ladan Fazli, et al.. (2022). TP53 Alterations Are Associated With Poor Survival in Patients With Primary Mediastinal Nonseminoma Germ Cell Tumors. The Oncologist. 27(11). e912–e915. 6 indexed citations
6.
Saxena, Neetu, Eliana Beraldi, Ladan Fazli, et al.. (2021). Androgen receptor (AR) antagonism triggers acute succinate‐mediated adaptive responses to reactivate AR signaling. EMBO Molecular Medicine. 13(5). e13427–e13427. 11 indexed citations
7.
Somasekharan, Syam Prakash, Neetu Saxena, Fan Zhang, et al.. (2021). Regulation of AR mRNA translation in response to acute AR pathway inhibition. Nucleic Acids Research. 50(2). 1069–1091. 30 indexed citations
8.
Soleimani, Maryam, Neetu Saxena, Bernhard J. Eigl, et al.. (2021). Plasma exosome microRNA-155 expression in patients with metastatic renal cell carcinoma treated with immune checkpoint inhibitors: A potential biomarker of response to systemic therapy.. Journal of Clinical Oncology. 39(15_suppl). 4570–4570. 1 indexed citations
9.
Nappi, Lucia, Neetu Saxena, Maryam Soleimani, et al.. (2021). Longer follow-up data of circulating miR371a-3p expression across the spectrum of germ cell tumors (GCT).. Journal of Clinical Oncology. 39(6_suppl). 379–379. 1 indexed citations
10.
Kawai, Yoshihisa, Kenjiro Imada, Shusuke Akamatsu, et al.. (2020). Paternally Expressed Gene 10 (PEG10) Promotes Growth, Invasion, and Survival of Bladder Cancer. Molecular Cancer Therapeutics. 19(10). 2210–2220. 12 indexed citations
11.
Somasekharan, Syam Prakash, Fan Zhang, Neetu Saxena, et al.. (2020). G3BP1-linked mRNA partitioning supports selective protein synthesis in response to oxidative stress. Nucleic Acids Research. 48(12). 6855–6873. 44 indexed citations
12.
Saxena, Neetu, Nunziata Maio, Daniel R. Crooks, et al.. (2015). SDHB-Deficient Cancers: The Role of Mutations That Impair Iron Sulfur Cluster Delivery. JNCI Journal of the National Cancer Institute. 108(1). djv287–djv287. 97 indexed citations
13.
Maio, Nunziata, Anamika Singh, Helge Uhrigshardt, et al.. (2014). Cochaperone Binding to LYR Motifs Confers Specificity of Iron Sulfur Cluster Delivery. Cell Metabolism. 19(3). 445–457. 127 indexed citations
14.
Kumar, Vijay, et al.. (2011). Carboxylated Lysine is Required for Higher Activities in Hydantoinases. Protein and Peptide Letters. 18(7). 663–669. 9 indexed citations
15.
Inayat‐Hussain, Salmaan H., Kok Meng Chan, Nor Fadilah Rajab, et al.. (2009). RACK-1 overexpression protects against goniothalamin-induced cell death. Toxicology Letters. 191(2-3). 118–122. 14 indexed citations
16.
Katoch, K, et al.. (1997). Microdensitometric scanning procedure for quantitative assessment of hybridization of rRNA targeting probes in leprosy.. PubMed. 10(4). 213–7. 2 indexed citations
17.
Sharma, Rahul, K Katoch, Channappa T. Shivannavar, et al.. (1996). Detection of M. leprae by gene amplification; combined ethidium-bromide staining and probe hybridization.. PubMed. 64(4). 409–16. 6 indexed citations
18.
Saxena, Neetu, et al.. (1990). Mycoflora of tobacco leaves and tobacco products.. International Journal of Ecology and Environmental Sciences. 16. 179–185. 1 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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