Urmila Saxena

1.0k total citations · 1 hit paper
16 papers, 797 citations indexed

About

Urmila Saxena is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Urmila Saxena has authored 16 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Electrical and Electronic Engineering and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Urmila Saxena's work include Advanced biosensing and bioanalysis techniques (6 papers), Electrochemical sensors and biosensors (5 papers) and Ferroptosis and cancer prognosis (4 papers). Urmila Saxena is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), Electrochemical sensors and biosensors (5 papers) and Ferroptosis and cancer prognosis (4 papers). Urmila Saxena collaborates with scholars based in India. Urmila Saxena's co-authors include Asim Bikas Das, Pranab Goswami, Sheikh Raisuddin, Ashok Kumar Saxena, Pradeep Kumar, Vani Mishra, Lalit Kumar Singh Chauhan, Anjali Awasthi, Anil Verma and Lepakshi Barbora and has published in prestigious journals such as Scientific Reports, Biosensors and Bioelectronics and RSC Advances.

In The Last Decade

Urmila Saxena

16 papers receiving 785 citations

Hit Papers

align trajectories sort by overperformance

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.

Recent advances in biosensor development for the detection of cancer biomarkers

2016 399 citations Asim Bikas Das, Urmila Saxena et al. Biosensors and Bioelectronics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Urmila Saxena India	10	548	292	264	126	109	16	797
Pengfei Pang China	17	460 0.8×	236 0.8×	187 0.7×	244 1.9×	127 1.2×	42	811
Dexiang Feng China	16	492 0.9×	310 1.1×	293 1.1×	212 1.7×	155 1.4×	38	773
Zhixian Liang China	15	453 0.8×	248 0.8×	305 1.2×	185 1.5×	192 1.8×	26	790
Panpan Dai China	16	403 0.7×	202 0.7×	164 0.6×	228 1.8×	110 1.0×	34	778
Yongmei Yin China	21	925 1.7×	494 1.7×	192 0.7×	356 2.8×	82 0.8×	40	1.2k
Min Shen China	13	346 0.6×	228 0.8×	180 0.7×	81 0.6×	66 0.6×	30	613
Wu Xiao-Hua China	8	338 0.6×	196 0.7×	198 0.8×	128 1.0×	62 0.6×	13	696
Yingdi Zhu China	13	477 0.9×	374 1.3×	161 0.6×	141 1.1×	118 1.1×	32	745
Haibo Qiu United States	20	655 1.2×	364 1.2×	137 0.5×	58 0.5×	101 0.9×	60	1.1k
Shu‐Lian Jiang China	14	316 0.6×	158 0.5×	217 0.8×	345 2.7×	111 1.0×	27	732

Countries citing papers authored by Urmila Saxena

Since Specialization

Citations

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

Fields of papers citing papers by Urmila Saxena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urmila Saxena

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

All Works

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16 of 16 papers shown

Saxena, Urmila, et al.. (2023). Computational Gene Expression and Network Analysis of Myc Reveal Insights into Its Diagnostic and Prognostic Role in Subtypes of Renal Cancer. Applied Biochemistry and Biotechnology. 195(7). 4251–4276. 4 indexed citations

Saxena, Urmila, et al.. (2023). Therapeutic applications of carbon nanomaterials in renal cancer. Biotechnology Letters. 45(11-12). 1395–1416. 1 indexed citations

Saxena, Urmila, et al.. (2023). Stage-specific coexpression network analysis of Myc in cohorts of renal cancer. Scientific Reports. 13(1). 11848–11848. 2 indexed citations

Saxena, Urmila, et al.. (2022). Integrative Analysis of Potential Biomarkers Involved in the Progression of Papillary Thyroid Cancer. Applied Biochemistry and Biotechnology. 195(5). 2917–2932. 3 indexed citations

Saxena, Urmila, et al.. (2020). Antibody-based biosensor to detect oncogenic splicing factor Sam68 for the diagnosis of lung cancer. Biotechnology Letters. 42(12). 2501–2509. 5 indexed citations

Das, Asim Bikas, et al.. (2019). Grade-specific diagnostic and prognostic biomarkers in breast cancer. Genomics. 112(1). 388–396. 31 indexed citations

Saxena, Urmila, et al.. (2019). A comprehensive study on genome-wide coexpression network of KHDRBS1/Sam68 reveals its cancer and patient-specific association. Scientific Reports. 9(1). 11083–11083. 16 indexed citations

Das, Asim Bikas, et al.. (2019). Fabrication of an immunosensor for quantitative detection of breast cancer biomarker UBE2C. RSC Advances. 9(29). 16738–16745. 18 indexed citations

Saxena, Urmila, et al.. (2016). Alternative splicing within the Wnt signaling pathway: role in cancer development. Cellular Oncology. 39(1). 1–13. 25 indexed citations

10.

Das, Asim Bikas, et al.. (2016). Recent advances in biosensor development for the detection of cancer biomarkers. Biosensors and Bioelectronics. 91. 15–23. 399 indexed citations breakdown →

11.

Saxena, Urmila & Asim Bikas Das. (2015). Nanomaterials towards fabrication of cholesterol biosensors: Key roles and design approaches. Biosensors and Bioelectronics. 75. 196–205. 96 indexed citations

12.

Saxena, Urmila & Pranab Goswami. (2012). Electrical and optical properties of gold nanoparticles: applications in gold nanoparticles-cholesterol oxidase integrated systems for cholesterol sensing. Journal of Nanoparticle Research. 14(4). 30 indexed citations

13.

Saxena, Urmila, et al.. (2011). Multiwalled carbon nanotube-based bi-enzyme electrode for total cholesterol estimation in human serum. Journal of Experimental Nanoscience. 6(1). 84–95. 9 indexed citations

14.

Saxena, Urmila, et al.. (2010). Covalent immobilization of cholesterol oxidase on self-assembled gold nanoparticles for highly sensitive amperometric detection of cholesterol in real samples. Biosensors and Bioelectronics. 26(6). 3037–3043. 120 indexed citations

15.

Saxena, Urmila & Pranab Goswami. (2010). Silk Mat as Bio-matrix for the Immobilization of Cholesterol Oxidase. Applied Biochemistry and Biotechnology. 162(4). 1122–1131. 19 indexed citations

16.

Mishra, Vani, Anjali Awasthi, Asim Bikas Das, et al.. (2008). Status of Stat3 in an Ovalbumin-Induced Mouse Model of Asthma: Analysis of the Role of Socs3 and IL-6. International Archives of Allergy and Immunology. 148(2). 99–108. 19 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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