Jinong Li

2.3k total citations · 2 hit papers
9 papers, 1.8k citations indexed

About

Jinong Li is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Jinong Li has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Cancer Research. Recurrent topics in Jinong Li's work include Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (3 papers) and Molecular Biology Techniques and Applications (2 papers). Jinong Li is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (3 papers) and Molecular Biology Techniques and Applications (2 papers). Jinong Li collaborates with scholars based in United States, Australia and Netherlands. Jinong Li's co-authors include Jason M. Rosenzweig, Daniel W. Chan, Zhen Zhang, Daniel W. Chan, Yinhua Yu, Lori J. Sokoll, Zhen Zhang, Andrew Berchuck, Robert C. Bast and J. Alex and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and The Journal of Urology.

In The Last Decade

Jinong Li

9 papers receiving 1.8k citations

Hit Papers

Three Biomarkers Identified from Serum Proteomic Analysis... 2002 2026 2010 2018 2004 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinong Li United States 8 1.3k 1.0k 270 185 161 9 1.8k
Ihor Batruch Canada 28 926 0.7× 438 0.4× 251 0.9× 256 1.4× 308 1.9× 55 1.9k
Jiekai Yu China 21 789 0.6× 410 0.4× 240 0.9× 255 1.4× 61 0.4× 73 1.5k
J. Alex United States 7 585 0.5× 472 0.5× 135 0.5× 86 0.5× 145 0.9× 9 946
Rémi Longuespée Germany 27 1.4k 1.1× 1.1k 1.0× 395 1.5× 427 2.3× 49 0.3× 78 2.4k
Christine Yip United States 13 520 0.4× 409 0.4× 160 0.6× 178 1.0× 118 0.7× 38 968
Gordon Whiteley United States 17 632 0.5× 411 0.4× 86 0.3× 128 0.7× 39 0.2× 37 1.0k
Maria Pernemalm Sweden 23 1.3k 1.0× 391 0.4× 553 2.0× 314 1.7× 23 0.1× 46 2.0k
Xueyuan Xiao China 21 767 0.6× 316 0.3× 190 0.7× 174 0.9× 20 0.1× 46 1.1k
Kristina Schwamborn Germany 27 1.1k 0.9× 1.1k 1.1× 193 0.7× 306 1.7× 33 0.2× 85 2.6k
Roger R Perry United States 24 553 0.4× 234 0.2× 702 2.6× 525 2.8× 90 0.6× 57 2.0k

Countries citing papers authored by Jinong Li

Since Specialization
Citations

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

Fields of papers citing papers by Jinong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinong Li

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

All Works

9 of 9 papers shown
1.
Li, Jinong, et al.. (2010). Analytical Performance of 4 Automated Assays for Measurement of Cystatin C. Clinical Chemistry. 56(8). 1336–1339. 21 indexed citations
2.
Zhou, Junma, Bruce J. Trock, Theodore N. Tsangaris, et al.. (2009). A unique proteolytic fragment of alpha1-antitrypsin is elevated in ductal fluid of breast cancer patient. Breast Cancer Research and Treatment. 123(1). 73–86. 15 indexed citations
3.
Li, Jinong, Zhen Zhang, & Daniel W. Chan. (2006). Validation of Breast Cancer Biomarkers Identified by Mass Spectrometry: Some of the authors of the article cited above respond:. Clinical Chemistry. 52(4). 772–772. 1 indexed citations
4.
Li, Jinong, Rosaria Orlandi, Craig White, et al.. (2005). Independent Validation of Candidate Breast Cancer Serum Biomarkers Identified by Mass Spectrometry. Clinical Chemistry. 51(12). 2229–2235. 144 indexed citations
5.
Li, Jinong, Jing Zhao, Julie R. Lange, et al.. (2005). Identification of Biomarkers for Breast Cancer in Nipple Aspiration and Ductal Lavage Fluid. Clinical Cancer Research. 11(23). 8312–8320. 76 indexed citations
6.
Kuhajda, Francis P., Jinong Li, Paul Cheng, et al.. (2004). Fatty acid synthase as a tumor marker: its extracellular expression in human breast cancer.. PubMed. 4(2). 101–10. 44 indexed citations
7.
Zhang, Zhen, Robert C. Bast, Yinhua Yu, et al.. (2004). Three Biomarkers Identified from Serum Proteomic Analysis for the Detection of Early Stage Ovarian Cancer. Cancer Research. 64(16). 5882–5890. 741 indexed citations breakdown →
8.
Li, Jinong, Nicole M. White, Zhen Zhang, et al.. (2004). Detection of Prostate Cancer Using Serum Proteomics Pattern in a Histologically Confirmed Population. The Journal of Urology. 171(5). 1782–1787. 48 indexed citations
9.
Li, Jinong, et al.. (2002). Proteomics and Bioinformatics Approaches for Identification of Serum Biomarkers to Detect Breast Cancer. Clinical Chemistry. 48(8). 1296–1304. 733 indexed citations breakdown →

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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