Qin Ji

2.3k total citations · 1 hit paper
71 papers, 1.7k citations indexed

About

Qin Ji is a scholar working on Molecular Biology, Immunology and Spectroscopy. According to data from OpenAlex, Qin Ji has authored 71 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 22 papers in Immunology and 14 papers in Spectroscopy. Recurrent topics in Qin Ji's work include Biosimilars and Bioanalytical Methods (20 papers), Pesticide Residue Analysis and Safety (14 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Qin Ji is often cited by papers focused on Biosimilars and Bioanalytical Methods (20 papers), Pesticide Residue Analysis and Safety (14 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Qin Ji collaborates with scholars based in United States, United Kingdom and Germany. Qin Ji's co-authors include Mark E. Arnold, Tawakol A. El‐Shourbagy, Ichiro Hisaki, Takayoshi Nakamura, Norimitsu Tohnai, Abderrazzak Douhal, Yuto Suzuki, Eduardo Gomez, Long Yuan and Guowen Liu and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and Nature Nanotechnology.

In The Last Decade

Qin Ji

68 papers receiving 1.7k citations

Hit Papers

Why nanoparticles prefer liver macrophage cell uptake in ... 2022 2026 2023 2024 2022 50 100 150
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.

  1. Why nanoparticles prefer liver macrophage cell uptake in vivo
    2022 167 citations Wayne Ngo, Qin Ji et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qin Ji United States 20 474 434 418 294 289 71 1.7k
Ana Maria da Costa Ferreira Brazil 33 388 0.8× 735 1.7× 777 1.9× 184 0.6× 202 0.7× 149 4.1k
Hideki Masuda Japan 30 93 0.2× 335 0.8× 555 1.3× 176 0.6× 265 0.9× 166 3.1k
Syed A. A. Rizvi United States 18 98 0.2× 377 0.9× 350 0.8× 294 1.0× 283 1.0× 36 1.8k
Feng Peng China 28 106 0.2× 286 0.7× 726 1.7× 87 0.3× 285 1.0× 95 3.1k
Rong Huang China 32 153 0.3× 475 1.1× 1.1k 2.5× 324 1.1× 322 1.1× 146 3.0k
Dong‐Wook Kim South Korea 22 60 0.1× 314 0.7× 396 0.9× 241 0.8× 155 0.5× 82 2.1k
José P. Cerón‐Carrasco Spain 30 114 0.2× 397 0.9× 1.2k 2.8× 288 1.0× 121 0.4× 107 2.6k
Peter Mikuš Slovakia 22 63 0.1× 212 0.5× 559 1.3× 547 1.9× 670 2.3× 178 2.2k
Maria Rangel Portugal 29 63 0.1× 408 0.9× 541 1.3× 300 1.0× 160 0.6× 131 2.3k

Countries citing papers authored by Qin Ji

Since Specialization
Citations

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

Fields of papers citing papers by Qin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Ji. A scholar is included among the top collaborators of Qin Ji 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 Qin Ji. Qin Ji 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.
Savaryn, John P., et al.. (2024). High throughput bioanalysis of serum 7a-hydroxy-4-cholesten-3-one (C4) using LC-MS/MS: Devising an end-to-end single vial solution for a sample limited application. Journal of Pharmaceutical and Biomedical Analysis. 255. 116581–116581.
2.
Savaryn, John P., R. Kikuchi, Yuli Qian, et al.. (2024). Endogenous plasma riboflavin is not a viable BCRP biomarker in human. Clinical and Translational Science. 17(12). e70109–e70109. 2 indexed citations
3.
Price, Edward, Mei Feng, Stella Z. Doktor, et al.. (2024). High-Throughput SFC-MS/MS Method to Measure EPSA and Predict Human Permeability. Journal of Medicinal Chemistry. 67(16). 13765–13777. 6 indexed citations
4.
Pavlichenko, Ida, Alison Grinthal, Cathy Zhang, et al.. (2023). Design of medical tympanostomy conduits with selective fluid transport properties. Science Translational Medicine. 15(690). eadd9779–eadd9779. 2 indexed citations
5.
MacMillan, Presley, Abdullah M. Syed, Benjamin R. Kingston, et al.. (2023). Toward Predicting Nanoparticle Distribution in Heterogeneous Tumor Tissues. Nano Letters. 23(15). 7197–7205. 14 indexed citations
6.
7.
Savaryn, John P., et al.. (2021). Fit-for-purpose LC-MS/MS quantification of leukotoxin and leukotoxin diol in mouse plasma without sample pre-concentration. Journal of Chromatography B. 1180. 122897–122897. 3 indexed citations
8.
Ouyang, Zheng, et al.. (2020). Integration of Acoustic Liquid Handling into Quantitative Analysis of Biological Matrix Samples. SLAS TECHNOLOGY. 25(5). 463–473. 3 indexed citations
9.
10.
Yuan, Long, et al.. (2018). Overcoming the stability, solubility and extraction challenges in reversed-phase UHPLC–MS/MS bioanalysis of a phosphate drug and its prodrug in blood lysate. Journal of Pharmaceutical and Biomedical Analysis. 157. 36–43. 4 indexed citations
11.
Yuan, Long, Christine Huang, Alban J. Allentoff, et al.. (2018). A convenient strategy to overcome interference in LC-MS/MS analysis: Application in a microdose absolute bioavailability study. Journal of Pharmaceutical and Biomedical Analysis. 165. 198–206. 8 indexed citations
12.
13.
Zheng, Naiyu, Long Yuan, Qin Ji, et al.. (2015). “Center punch” and “whole spot” bioanalysis of apixaban in human dried blood spot samples by UHPLC-MS/MS. Journal of Chromatography B. 988. 66–74. 42 indexed citations
14.
Liang, Xiaorong, Yinghe Li, Matthew Barfield, & Qin Ji. (2009). Study of dried blood spots technique for the determination of dextromethorphan and its metabolite dextrorphan in human whole blood by LC–MS/MS. Journal of Chromatography B. 877(8-9). 799–806. 82 indexed citations
15.
16.
Zhang, Jun, et al.. (2007). Determination of sirolimus in rabbit arteries using liquid chromatography separation and tandem mass spectrometric detection. Biomedical Chromatography. 21(10). 1036–1044. 6 indexed citations
17.
Zhang, Jun, Qin Ji, Min S. Chang, et al.. (2007). Accurate determination of an immunosuppressant in stented swine tissues with LC–MS/MS. Analytical and Bioanalytical Chemistry. 387(8). 2745–2756. 6 indexed citations
18.
Zhang, Jun, et al.. (2006). Developing multiple high‐throughput GLP methods for an investigational drug candidate in various matrices within a 96‐well plate. Rapid Communications in Mass Spectrometry. 20(24). 3755–3760. 8 indexed citations
19.
Ji, Qin, et al.. (2006). A sample preparation process for LC–MS/MS analysis of total protein drug concentrations in monkey plasma samples with antibody. Journal of Chromatography B. 847(2). 133–141. 11 indexed citations
20.
Karyekar, Chetan S., Rajendra Pradhan, Qin Ji, et al.. (2005). A Phase I Multiple‐Dose Escalation Study Characterizing Pharmacokinetics and Safety of ABT‐578 in Healthy Subjects. The Journal of Clinical Pharmacology. 45(8). 910–918. 10 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ana Maria da Costa Ferreira Breakdown of academic impact, for papers by Hideki Masuda Breakdown of academic impact, for papers by Syed A. A. Rizvi Breakdown of academic impact, for papers by Feng Peng Breakdown of academic impact, for papers by Rong Huang Breakdown of academic impact, for papers by Dong‐Wook Kim Breakdown of academic impact, for papers by José P. Cerón‐Carrasco Breakdown of academic impact, for papers by Peter Mikuš Breakdown of academic impact, for papers by Maria Rangel
Rankless by CCL
2026