James G. Bollinger

4.5k total citations · 3 hit papers
40 papers, 3.1k citations indexed

About

James G. Bollinger is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, James G. Bollinger has authored 40 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Physiology and 7 papers in Spectroscopy. Recurrent topics in James G. Bollinger's work include Alzheimer's disease research and treatments (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). James G. Bollinger is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). James G. Bollinger collaborates with scholars based in United States, France and United Kingdom. James G. Bollinger's co-authors include Michael H. Gelb, Michael J. MacCoss, Brian C. Searle, Brook L. Nunn, Lindsay K. Pino, Brendan MacLean, Randall J. Bateman, Vitaliy Ovod, Kwasi G. Mawuenyega and Suzanne E. Schindler and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

James G. Bollinger

39 papers receiving 3.0k 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.

High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis

2019 551 citations Suzanne E. Schindler, James G. Bollinger et al. profile →
The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics

2017 480 citations Lindsay K. Pino, Brian C. Searle et al. Mass Spectrometry Reviews profile →
Plasma Phosphorylated Tau 217 and Aβ42/40 to Predict Early Brain Aβ Accumulation in People Without Cognitive Impairment

2024 42 citations Nicolas R. Barthélemy, Suzanne E. Schindler et al. profile →

Peers

Countries citing papers authored by James G. Bollinger

Since Specialization

Citations

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

Fields of papers citing papers by James G. Bollinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James G. Bollinger. 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 James G. Bollinger. The network helps show where James G. Bollinger may publish in the future.

Co-authorship network of co-authors of James G. Bollinger

This figure shows the co-authorship network connecting the top 25 collaborators of James G. Bollinger. A scholar is included among the top collaborators of James G. Bollinger 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 James G. Bollinger. James G. Bollinger 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

#	Title	Journal	Authors	Indexed citations
1	Alzheimer’s disease blood tests of amyloid‐beta 42/40, %p‐tau217, 181, and 205 ratios and MTBR‐243 in real‐world populations: Results from SEABIRD and BioFINDER2	Alzheimer s & Dementia	Randall J. Bateman, Melody Li et al.	0
2	Suvorexant Acutely Decreases Tau Phosphorylation and Aβ in the Human CNS	Annals of Neurology	Brendan P. Lucey, Haiyan Liu et al.	46
3	Predicting continuous amyloid PET values with CSF and plasma Aβ42/Aβ40	Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring	Julie K. Wisch, Brian A. Gordon et al.	14
4	The performance of plasma amyloid beta measurements in identifying amyloid plaques in Alzheimer’s disease: a literature review	Alzheimer s Research & Therapy	James G. Bollinger, Yan Li et al.	79
5	The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics breakdown →	Mass Spectrometry Reviews	Lindsay K. Pino, Brian C. Searle et al.	480
6	Identification of Epithelial Phospholipase A2 Receptor 1 as a Potential Target in Asthma	American Journal of Respiratory Cell and Molecular Biology	James D. Nolin, Ying Lai et al.	29
7	Human Central Nervous System (CNS) ApoE Isoforms Are Increased by Age, Differentially Altered by Amyloidosis, and Relative Amounts Reversed in the CNS Compared with Plasma	Journal of Biological Chemistry	Alaina Baker‐Nigh, Kwasi G. Mawuenyega et al.	42
8	Using Data Independent Acquisition (DIA) to Model High-responding Peptides for Targeted Proteomics Experiments	Molecular & Cellular Proteomics	Brian C. Searle, Jarrett D. Egertson et al.	35
9	Regulation and Function of Epithelial Secreted Phospholipase A2 Group X in Asthma	American Journal of Respiratory and Critical Care Medicine	Teal S. Hallstrand, Ying Lai et al.	38
10	Key Role of Group V Secreted Phospholipase A2 in Th2 Cytokine and Dendritic Cell-Driven Airway Hyperresponsiveness and Remodeling	PLoS ONE	William R. Henderson, Xin Ye et al.	19
11	LC/ESI-MS/MS detection of FAs by charge reversal derivatization with more than four orders of magnitude improvement in sensitivity	Journal of Lipid Research	James G. Bollinger, Martin Sadı́lek et al.	100
12	Blockade of Human Group X Secreted Phospholipase A2 (GX-sPLA2)-induced Airway Inflammation and Hyperresponsiveness in a Mouse Asthma Model by a Selective GX-sPLA2 Inhibitor	Journal of Biological Chemistry	William R. Henderson, Rob Oslund et al.	35
13	Role of Phosphorylation and Basic Residues in the Catalytic Domain of Cytosolic Phospholipase A2α in Regulating Interfacial Kinetics and Binding and Cellular Function	Journal of Biological Chemistry	Dawn E. Tucker, Moumita Ghosh et al.	42
14	Improved method for the quantification of lysophospholipids including enol ether species by liquid chromatography-tandem mass spectrometry	Journal of Lipid Research	James G. Bollinger, Martin Sadı́lek et al.	44
15	Group X Phospholipase A2 Stimulates the Proliferation of Colon Cancer Cells by Producing Various Lipid Mediators	Molecular Pharmacology	Éric Boilard, James G. Bollinger et al.	48
16	Inhibition of lipoprotein-associated phospholipase A2 reduces complex coronary atherosclerotic plaque development	Nature Medicine	Robert L. Wilensky, Yi Shi et al.	294
17	Importance of group X–secreted phospholipase A2 in allergen-induced airway inflammation and remodeling in a mouse asthma model	The Journal of Experimental Medicine	William R. Henderson, Y. Emil et al.	160
18	C-terminal proteolysis of prenylated proteins in trypanosomatids and RNA interference of enzymes required for the post-translational processing pathway of farnesylated proteins	Molecular and Biochemical Parasitology	J. Robert Gillespie, Kohei Yokoyama et al.	16
19	The proinflammatory mediator Platelet Activating Factor is an effective substrate for human group X secreted phospholipase A2	Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids	Sarah Gora, Gérard Lambeau et al.	19
20	On the Binding Preference of Human Groups IIA and X Phospholipases A2 for Membranes with Anionic Phospholipids	Journal of Biological Chemistry	Sofiane Bezzine, James G. Bollinger et al.	111

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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