Prem Gurnani

3.2k total citations · 2 hit papers
20 papers, 2.5k citations indexed

About

Prem Gurnani is a scholar working on Molecular Biology, Spectroscopy and Nephrology. According to data from OpenAlex, Prem Gurnani has authored 20 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Spectroscopy and 3 papers in Nephrology. Recurrent topics in Prem Gurnani's work include Advanced Proteomics Techniques and Applications (10 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Mass Spectrometry Techniques and Applications (6 papers). Prem Gurnani is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Mass Spectrometry Techniques and Applications (6 papers). Prem Gurnani collaborates with scholars based in United States, Canada and Japan. Prem Gurnani's co-authors include Kevin P. Rosenblatt, Animesh Nandi, Makoto Kuro‐o, Masaya Yamamoto, Johanne V. Pastor, Hiroshi Kurosu, Jeremy D. Clark, Joachim Herz, Yoshiharu Takayama and Hirotaka Chikuda and has published in prestigious journals such as Science, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Prem Gurnani

20 papers receiving 2.5k citations

Hit Papers

Suppression of Aging in Mice by the Hormone Klotho 2005 2026 2012 2019 2005 2005 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prem Gurnani United States 11 1.3k 858 831 471 248 20 2.5k
Glenn C. Rowe United States 28 223 0.2× 2.2k 2.6× 166 0.2× 1.1k 2.4× 86 0.3× 53 3.5k
Shinong Wang United States 21 619 0.5× 1.1k 1.3× 163 0.2× 209 0.4× 18 0.1× 28 2.2k
John J Gildea United States 30 204 0.2× 1.6k 1.9× 164 0.2× 212 0.5× 18 0.1× 80 2.5k
Lei Cui China 27 161 0.1× 1.5k 1.8× 158 0.2× 450 1.0× 16 0.1× 64 2.8k
Régine Chambrey France 31 625 0.5× 2.2k 2.6× 147 0.2× 383 0.8× 8 0.0× 62 3.0k
Frederick H. Wilson United States 18 255 0.2× 3.0k 3.5× 217 0.3× 262 0.6× 16 0.1× 29 3.6k
Daria V. Ilatovskaya United States 28 533 0.4× 1.1k 1.3× 227 0.3× 217 0.5× 11 0.0× 93 2.2k
Ivica Grgic Germany 21 631 0.5× 1.5k 1.7× 106 0.1× 873 1.9× 8 0.0× 39 3.1k
Géza Fejes‐Tóth United States 38 140 0.1× 2.7k 3.2× 414 0.5× 308 0.7× 51 0.2× 97 4.1k
M. Paul Germany 24 93 0.1× 1.6k 1.8× 267 0.3× 546 1.2× 29 0.1× 56 3.7k

Countries citing papers authored by Prem Gurnani

Since Specialization
Citations

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

Fields of papers citing papers by Prem Gurnani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prem Gurnani

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

All Works

20 of 20 papers shown
1.
Rosenblatt, Kevin P., Zhen Zhang, Robert C. Doss, et al.. (2024). A multisite study to develop and validate first trimester, circulating microparticle biomarkers for tiered risk stratification of spontaneous preterm birth in nulliparas. American Journal of Obstetrics and Gynecology. 232(3). 319.e1–319.e21. 2 indexed citations
2.
Gumusoglu, Serena B., David E. Cantonwine, Daniela Carusi, et al.. (2023). Circulating microparticle proteins predict pregnancies complicated by placenta accreta spectrum. Scientific Reports. 12(1). 21922–21922. 6 indexed citations
3.
Cantonwine, David E., et al.. (2021). Circulating microparticle proteins predict pregnancies complicated by placenta accreta spectrum. American Journal of Obstetrics and Gynecology. 226(1). S34–S35. 2 indexed citations
4.
Brobey, Reynolds, Dwight C. German, Patricia K. Sonsalla, et al.. (2015). Klotho Protects Dopaminergic Neuron Oxidant-Induced Degeneration by Modulating ASK1 and p38 MAPK Signaling Pathways. PLoS ONE. 10(10). e0139914–e0139914. 49 indexed citations
5.
Oh, Jung Hun, Prem Gurnani, John O. Schorge, Kevin P. Rosenblatt, & Jean Gao. (2009). An Extended Markov Blanket Approach to Proteomic Biomarker Detection From High-Resolution Mass Spectrometry Data. IEEE Transactions on Information Technology in Biomedicine. 13(2). 195–206. 9 indexed citations
6.
Oh, Jung Hun, Yair Lotan, Prem Gurnani, Kevin P. Rosenblatt, & Jean Gao. (2009). Prostate cancer biomarker discovery using high performance mass spectral serum profiling. Computer Methods and Programs in Biomedicine. 96(1). 33–41. 15 indexed citations
7.
Oh, Jung Hun, et al.. (2008). Biomarker selection and sample prediction for multi-category disease on MALDI-TOF data. Bioinformatics. 24(16). 1812–1818. 17 indexed citations
8.
Geho, David, Jonathan Keith Killian, Animesh Nandi, et al.. (2007). Fluorescence-Based Analysis of Cellular Protein Lysate Arrays Using Quantum Dots. Humana Press eBooks. 374. 229–238. 10 indexed citations
9.
German, Dwight C., Prem Gurnani, Animesh Nandi, et al.. (2007). Serum biomarkers for Alzheimer's disease: Proteomic discovery. Biomedicine & Pharmacotherapy. 61(7). 383–389. 48 indexed citations
10.
Oh, Jung Hun, et al.. (2007). Biomarker Selection for Predicting Alzheimer Disease Using High-Resolution MALDI-TOF Data. 13. 464–471. 6 indexed citations
11.
Rosenblatt, Kevin P., Prem Gurnani, Johanne Pastor, et al.. (2007). 13: Iimproved sensitivity (SEN) & positive predictive value (PPV) for the detection of pre-term labor (PTL): A new multivariate quantitative protein microarray serum panel. American Journal of Obstetrics and Gynecology. 197(6). S7–S7. 2 indexed citations
12.
Lopez, Mary F., Alvydas Mikulskis, Scott Kuzdzal, et al.. (2007). A Novel, High-Throughput Workflow for Discovery and Identification of Serum Carrier Protein-Bound Peptide Biomarker Candidates in Ovarian Cancer Samples. Clinical Chemistry. 53(6). 1067–1074. 96 indexed citations
13.
Oh, Jung Hun, Animesh Nandi, Prem Gurnani, et al.. (2006). PROTEOMIC BIOMARKER IDENTIFICATION FOR DIAGNOSIS OF EARLY RELAPSE IN OVARIAN CANCER. Journal of Bioinformatics and Computational Biology. 4(6). 1159–1179. 17 indexed citations
14.
Oh, Jung Hun, Animesh Nandi, Prem Gurnani, et al.. (2006). Prediction of labor for pregnant women using high-resolution mass spectrometry data. 62. 332–339. 4 indexed citations
15.
Yamamoto, Masaya, Jeremy D. Clark, Johanne V. Pastor, et al.. (2005). Regulation of Oxidative Stress by the Anti-aging Hormone Klotho*♦. Journal of Biological Chemistry. 280(45). 38029–38034. 598 indexed citations breakdown →
16.
Kurosu, Hiroshi, Masaya Yamamoto, Jeremy D. Clark, et al.. (2005). Suppression of Aging in Mice by the Hormone Klotho. Science. 309(5742). 1829–1833. 1490 indexed citations breakdown →
17.
Oh, Jung Hun, et al.. (2005). Diagnosis of early relapse in ovarian cancer using serum proteomic profiling.. PubMed. 16(2). 195–204. 9 indexed citations
18.
Geho, David, Prem Gurnani, M.L. Huebschman, et al.. (2005). Pegylated, Steptavidin-Conjugated Quantum Dots Are Effective Detection Elements for Reverse-Phase Protein Microarrays. Bioconjugate Chemistry. 16(3). 559–566. 99 indexed citations
19.
Oh, Jung Hun, Jean Gao, Animesh Nandi, et al.. (2005). Multicategory Classification using Extended SVM-RFE and Markov Blanket on SELDI-TOF Mass Spectrometry Data. 13. 1–7. 3 indexed citations
20.
Giller, Cole A., Hanli Liu, Prem Gurnani, et al.. (2003). Validation of a near-infrared probe for detection of thin intracranial white matter structures. Journal of neurosurgery. 98(6). 1299–1306. 31 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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