Sajjan S. Mehta

2.3k total citations · 2 hit papers
10 papers, 1.5k citations indexed

About

Sajjan S. Mehta is a scholar working on Molecular Biology, Spectroscopy and Astronomy and Astrophysics. According to data from OpenAlex, Sajjan S. Mehta has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Spectroscopy and 2 papers in Astronomy and Astrophysics. Recurrent topics in Sajjan S. Mehta's work include Metabolomics and Mass Spectrometry Studies (8 papers), Analytical Chemistry and Chromatography (6 papers) and Mass Spectrometry Techniques and Applications (3 papers). Sajjan S. Mehta is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (8 papers), Analytical Chemistry and Chromatography (6 papers) and Mass Spectrometry Techniques and Applications (3 papers). Sajjan S. Mehta collaborates with scholars based in United States, Saudi Arabia and China. Sajjan S. Mehta's co-authors include Oliver Fiehn, Tobias Kind, Megan R. Showalter, Hiroshi Tsugawa, Zijuan Lai, Masanori Arita, Gert Wohlgemuth, Tomáš Čajka, Dinesh Kumar Barupal and Yan Ma and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Nature Methods.

In The Last Decade

Sajjan S. Mehta

10 papers receiving 1.5k 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.

Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics

2017 412 citations Zijuan Lai, Hiroshi Tsugawa et al. Nature Methods profile →
Identification of small molecules using accurate mass MS/MS search

2017 342 citations Tobias Kind, Hiroshi Tsugawa et al. Mass Spectrometry Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sajjan S. Mehta United States	10	1.1k	469	242	123	114	10	1.5k
Karl H. Schram United States	28	1.1k 1.0×	369 0.8×	98 0.4×	114 0.9×	303 2.7×	91	2.3k
Isao Tomita Japan	26	538 0.5×	203 0.4×	184 0.8×	27 0.2×	192 1.7×	209	2.9k
Franco Moritz Germany	16	437 0.4×	145 0.3×	70 0.3×	21 0.2×	140 1.2×	28	860
Sven W. Meckelmann Germany	19	372 0.4×	297 0.6×	103 0.4×	23 0.2×	153 1.3×	39	868
Winnie Uritboonthai United States	10	1.6k 1.5×	812 1.7×	304 1.3×	6 0.0×	112 1.0×	13	2.2k
Petr Hušek Czechia	21	670 0.6×	746 1.6×	221 0.9×	33 0.3×	75 0.7×	64	1.6k
Lyle Burton Canada	17	807 0.8×	632 1.3×	177 0.7×	11 0.1×	34 0.3×	28	1.3k
Theo Reijmers Netherlands	24	1.2k 1.1×	510 1.1×	163 0.7×	6 0.0×	60 0.5×	43	1.6k
Jaanus Liigand Estonia	16	542 0.5×	568 1.2×	262 1.1×	6 0.0×	78 0.7×	24	1.2k
Robert W. Bryant United States	26	872 0.8×	86 0.2×	74 0.3×	57 0.5×	129 1.1×	60	2.6k

Countries citing papers authored by Sajjan S. Mehta

Since Specialization

Citations

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

Fields of papers citing papers by Sajjan S. Mehta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sajjan S. Mehta. 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 Sajjan S. Mehta. The network helps show where Sajjan S. Mehta may publish in the future.

Co-authorship network of co-authors of Sajjan S. Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Sajjan S. Mehta. A scholar is included among the top collaborators of Sajjan S. Mehta 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 Sajjan S. Mehta. Sajjan S. Mehta 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:

10 of 10 papers shown

1.

Ding, Jun, Jian Ji, Zachary Rabow, et al.. (2021). A metabolome atlas of the aging mouse brain. Nature Communications. 12(1). 6021–6021. 137 indexed citations

2.

Li, Yuanyue, Tobias Kind, Jacob Folz, et al.. (2021). Spectral entropy outperforms MS/MS dot product similarity for small-molecule compound identification. Nature Methods. 18(12). 1524–1531. 107 indexed citations

3.

Blaženović, Ivana, Tobias Kind, Jian Ji, et al.. (2019). Structure Annotation of All Mass Spectra in Untargeted Metabolomics. Analytical Chemistry. 91(3). 2155–2162. 129 indexed citations

4.

Blaženović, Ivana, Tong Shen, Sajjan S. Mehta, et al.. (2018). Increasing Compound Identification Rates in Untargeted Lipidomics Research with Liquid Chromatography Drift Time–Ion Mobility Mass Spectrometry. Analytical Chemistry. 90(18). 10758–10764. 58 indexed citations

5.

Lai, Zijuan, Hiroshi Tsugawa, Gert Wohlgemuth, et al.. (2017). Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics. Nature Methods. 15(1). 53–56. 412 indexed citations breakdown →

6.

DeFelice, Brian C., Sajjan S. Mehta, Tomáš Čajka, et al.. (2017). Mass Spectral Feature List Optimizer (MS-FLO): A Tool To Minimize False Positive Peak Reports in Untargeted Liquid Chromatography–Mass Spectroscopy (LC-MS) Data Processing. Analytical Chemistry. 89(6). 3250–3255. 134 indexed citations

7.

Blaženović, Ivana, Tobias Kind, Sajjan S. Mehta, et al.. (2017). Comprehensive comparison of in silico MS/MS fragmentation tools of the CASMI contest: database boosting is needed to achieve 93% accuracy. Journal of Cheminformatics. 9(1). 32–32. 86 indexed citations

8.

Kind, Tobias, Hiroshi Tsugawa, Tomáš Čajka, et al.. (2017). Identification of small molecules using accurate mass MS/MS search. Mass Spectrometry Reviews. 37(4). 513–532. 342 indexed citations breakdown →

9.

Krawczyk, Coleman, Gordon T. Richards, Sajjan S. Mehta, et al.. (2013). MEAN SPECTRAL ENERGY DISTRIBUTIONS AND BOLOMETRIC CORRECTIONS FOR LUMINOUS QUASARS. The Astrophysical Journal Supplement Series. 206(1). 4–4. 107 indexed citations

10.

Richards, Gordon T., et al.. (2009). ASTROMETRIC REDSHIFTS FOR QUASARS. The Astronomical Journal. 138(1). 19–27. 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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