What is he best known for?
The fields of study he is best known for:
Lingjun Li mainly investigates Mass spectrometry, Chromatography, Neuropeptide, Biochemistry and Peptide.
Many of his studies on Mass spectrometry involve topics that are commonly interrelated, such as Computational biology.
While the research belongs to areas of Chromatography, he spends his time largely on the problem of Tandem mass tag, intersecting his research to questions surrounding Isobaric labeling, Capillary electrophoresis and Collision-induced dissociation.
His Neuropeptide research is multidisciplinary, relying on both Homarus, Endocrinology, Aplysia and Nervous system.
His Endocrinology research is multidisciplinary, incorporating elements of Proctolin and Cancer productus.
His work carried out in the field of Peptide brings together such families of science as Electron-transfer dissociation, Peptide sequence and Glycoproteomics.
His most cited work include:
- Exploiting the Reversibility of Natural Product Glycosyltransferase-Catalyzed Reactions (220 citations)
- Single-cell MALDI: a new tool for direct peptide profiling (196 citations)
- Mass Spectrometry Imaging: A Review of Emerging Advancements and Future Insights. (161 citations)
What are the main themes of his work throughout his whole career to date?
Lingjun Li spends much of his time researching Mass spectrometry, Chromatography, Neuropeptide, Biochemistry and Peptide.
His Mass spectrometry research incorporates elements of Computational biology and Matrix-assisted laser desorption/ionization.
His Chromatography research incorporates themes from Proteomics and Quantitative proteomics.
His Neuropeptide research integrates issues from Endocrinology, Nervous system and Cell biology.
As part of his studies on Biochemistry, Lingjun Li often connects relevant subjects like Crustacean.
His Peptide research includes elements of Peptide sequence and Aplysia.
He most often published in these fields:
- Mass spectrometry (31.41%)
- Chromatography (26.70%)
- Neuropeptide (23.30%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (18.59%)
- Mass spectrometry (31.41%)
- Neuropeptide (23.30%)
In recent papers he was focusing on the following fields of study:
Lingjun Li mostly deals with Computational biology, Mass spectrometry, Neuropeptide, Cell biology and Mass spectrometry imaging.
Lingjun Li has included themes like Tandem mass spectrometry, Glycoproteomics, Proteomics, Quantitative proteomics and Text mining in his Computational biology study.
His Mass spectrometry study necessitates a more in-depth grasp of Chromatography.
His Chromatography research is multidisciplinary, relying on both Medicago truncatula, Peptide and Glycan.
His Neuropeptide research also works with subjects such as
- Callinectes which is related to area like Hemolymph,
- Function that intertwine with fields like Hormone.
His study in the field of Cell signaling also crosses realms of Reagent.
Between 2018 and 2021, his most popular works were:
- Identification of Double Bond Position Isomers in Unsaturated Lipids by m-CPBA Epoxidation and Mass Spectrometry Fragmentation. (38 citations)
- Solid-state synthesis of lanthanum-based oxides Co-coated LiNi0.5Co0.2Mn0.3O2 for advanced lithium ion batteries (30 citations)
- Controllable construction of interconnected SnOx/N-doped carbon/carbon composite for enhanced-performance lithium-ion batteries anodes (30 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Computational biology, Mass spectrometry, Electrochemistry, Biochemistry and Lithium.
His research in Computational biology intersects with topics in Glycoproteomics, Quantitative proteomics and Peptide.
Chromatography covers he research in Mass spectrometry.
He interconnects Mixing, Doping, Sodium and Analytical chemistry in the investigation of issues within Electrochemistry.
His work on Glycosylation, Neuropeptide and Model organism as part of general Biochemistry study is frequently connected to Human health, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Neuropeptide study combines topics in areas such as Neuromodulation and Crustacean.
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