Tejas Gandhi

3.0k total citations · 2 hit papers
26 papers, 1.8k citations indexed

About

Tejas Gandhi is a scholar working on Molecular Biology, Spectroscopy and Emergency Medical Services. According to data from OpenAlex, Tejas Gandhi has authored 26 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Spectroscopy and 4 papers in Emergency Medical Services. Recurrent topics in Tejas Gandhi's work include Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (10 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Tejas Gandhi is often cited by papers focused on Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (10 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Tejas Gandhi collaborates with scholars based in United States, Germany and Switzerland. Tejas Gandhi's co-authors include Lukas Reiter, Oliver M. Bernhardt, Roland Bruderer, Oliver Rinner, Yulia Butscheid, Saša M. Miladinović, Olga Vitek, Lin‐Yang Cheng, Simon Messner and Tobias Ehrenberger and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Molecular & Cellular Proteomics.

In The Last Decade

Tejas Gandhi

23 papers receiving 1.8k 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.

Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues

2015 755 citations Roland Bruderer, Oliver M. Bernhardt et al. Molecular & Cellular Proteomics profile →
Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries

2020 257 citations Dorte B. Bekker‐Jensen, Oliver M. Bernhardt et al. Nature Communications profile →

Peers

Tejas Gandhi

SPECT

ONCOL

PHYSI

Oliver M. Bernhardt United States

Isabell Bludau Germany

Christoph Stingl Netherlands

Daniel P. Zolg Germany

Rachel Rowlinson United Kingdom

Jana Zecha Germany

Hasmik Keshishian United States

Reto Ossola Switzerland

Olivier Golaz Switzerland

Tujin Shi United States

Oliver M. Bernhardt United States

Tejas Gandhi

1.6k ×1.2

1.3k ×1.3

SPECT

120 ×0.9

129 ×1.1

ONCOL

119 ×1.1

PHYSI

Citations per year, relative to Tejas Gandhi Tejas Gandhi (= 1×) peers Oliver M. Bernhardt

Countries citing papers authored by Tejas Gandhi

Since Specialization

Citations

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

Fields of papers citing papers by Tejas Gandhi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tejas Gandhi

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

All Works

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20 of 20 papers shown

Deng, Liulin, Brian Adamson, Kyle L. Fort, et al.. (2025). Enhancing Sensitivity in Low-Load Proteomics Orbitrap Workflows via SLIM Integration. Analytical Chemistry. 97(24). 12613–12622.

Bernhardt, Oliver M., Sander Willems, Ino D. Karemaker, et al.. (2025). Enhanced Identifications and Quantification Through Retention Time Down-Sampling in Fast-Cycling Diagonal-PASEF Methods. Molecular & Cellular Proteomics. 25(1). 101480–101480.

Šalovská, Barbora, Oliver M. Bernhardt, Pierre‐Luc Germain, et al.. (2025). A robust multiplex-DIA workflow profiles protein turnover regulations associated with cisplatin resistance and aneuploidy. Nature Communications. 16(1). 5034–5034. 2 indexed citations

Goetze, Sandra, Audrey van Drogen, Kyle L. Fort, et al.. (2024). Simultaneous targeted and discovery-driven clinical proteotyping using hybrid-PRM/DIA. Clinical Proteomics. 21(1). 26–26. 5 indexed citations

Bons, Joanna, Jacob Rose, Tejas Gandhi, et al.. (2023). Substantial downregulation of mitochondrial and peroxisomal proteins during acute kidney injury revealed by data‐independent acquisition proteomics. PROTEOMICS. 24(5). e2300162–e2300162. 11 indexed citations

Bekker‐Jensen, Dorte B., Oliver M. Bernhardt, Alexander Hogrebe, et al.. (2020). Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries. Nature Communications. 11(1). 787–787. 257 indexed citations breakdown →

Šalovská, Barbora, Hongwen Zhu, Tejas Gandhi, et al.. (2020). Isoform‐resolved correlation analysis between mRNA abundance regulation and protein level degradation. Molecular Systems Biology. 16(3). e9170–e9170. 41 indexed citations

Baeza, Josue, Jing Fan, Michael J. Smallegan, et al.. (2020). Revealing Dynamic Protein Acetylation across Subcellular Compartments. Journal of Proteome Research. 19(6). 2404–2418. 25 indexed citations

Muntel, Jan, et al.. (2019). Surpassing 10 000 identified and quantified proteins in a single run by optimizing current LC-MS instrumentation and data analysis strategy. Molecular Omics. 15(5). 348–360. 115 indexed citations

10.

Bruderer, Roland, Jan Muntel, Sebastian Müller, et al.. (2019). Analysis of 1508 Plasma Samples by Capillary-Flow Data-Independent Acquisition Profiles Proteomics of Weight Loss and Maintenance. Molecular & Cellular Proteomics. 18(6). 1242–1254. 118 indexed citations

11.

Bruderer, Roland, Oliver M. Bernhardt, Tejas Gandhi, et al.. (2017). WITHDRAWN: Heralds of parallel MS: Data-independent acquisition surpassing sequential identification of data dependent acquisition in proteomics. Molecular & Cellular Proteomics. mcp.M116.065730–mcp.M116.065730. 4 indexed citations

12.

Bruderer, Roland, Oliver M. Bernhardt, Tejas Gandhi, et al.. (2017). Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results. Molecular & Cellular Proteomics. 16(12). 2296–2309. 305 indexed citations

13.

Gandhi, Tejas, et al.. (2016). Load Frequency Control of Three Different Area Interconnected Power Station using Pi Controller. International Journal of Electrical and Electronics Engineering. 3(2). 10–14. 1 indexed citations

14.

Bruderer, Roland, Oliver M. Bernhardt, Tejas Gandhi, & Lukas Reiter. (2016). High‐precision iRT prediction in the targeted analysis of data‐independent acquisition and its impact on identification and quantitation. PROTEOMICS. 16(15-16). 2246–2256. 96 indexed citations

15.

Bruderer, Roland, Oliver M. Bernhardt, Tejas Gandhi, et al.. (2015). Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues. Molecular & Cellular Proteomics. 14(5). 1400–1410. 755 indexed citations breakdown →

16.

Chen, Yuerong, et al.. (2014). What drives patient satisfaction: a rough set approach. International Journal of Healthcare Technology and Management. 14(4). 254–254. 1 indexed citations

17.

Gandhi, Tejas, et al.. (2012). Effect of iTRAQ Labeling on the Relative Abundance of Peptide Fragment Ions Produced by MALDI-MS/MS. Journal of Proteome Research. 11(8). 4044–4051. 1 indexed citations

18.

Wiederhold, Elena, Tejas Gandhi, Hjalmar P. Permentier, et al.. (2008). The Yeast Vacuolar Membrane Proteome. Molecular & Cellular Proteomics. 8(2). 380–392. 68 indexed citations

19.

Wang, Shengyong, et al.. (2007). Comparing simulation alternatives based on quality expectations. Winter Simulation Conference. 1579–1585. 4 indexed citations

20.

Wang, Shengyong, et al.. (2007). Comparing simulation alternatives based on quality expectations. 2007 Winter Simulation Conference. 1579–1585. 2 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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