Fengji Tan

2.7k total citations
5 papers, 140 citations indexed

About

Fengji Tan is a scholar working on Molecular Biology, Nephrology and Epidemiology. According to data from OpenAlex, Fengji Tan has authored 5 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Nephrology and 2 papers in Epidemiology. Recurrent topics in Fengji Tan's work include Metabolomics and Mass Spectrometry Studies (3 papers), Sepsis Diagnosis and Treatment (2 papers) and Renal function and acid-base balance (2 papers). Fengji Tan is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Sepsis Diagnosis and Treatment (2 papers) and Renal function and acid-base balance (2 papers). Fengji Tan collaborates with scholars based in China. Fengji Tan's co-authors include Ruo Zhou, Bo Wen, Longxiang Su, Lixin Xie, Kun Xiao, Yong E. Zhang, Jie Deng, Hui‐Juan Wang, Liang Lin and Yingyu Huang and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and The Journal of Trauma: Injury, Infection, and Critical Care.

In The Last Decade

Fengji Tan

5 papers receiving 136 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fengji Tan China	5	82	48	29	10	10	5	140
James Go United States	5	98 1.2×	29 0.6×	12 0.4×	5 0.5×	19 1.9×	6	162
Jason Cochran United States	3	213 2.6×	107 2.2×	29 1.0×	8 0.8×	2 0.2×	3	280
Amy L. George United Kingdom	7	86 1.0×	52 1.1×	9 0.3×	9 0.9×	2 0.2×	14	163
Caroline Gaud United Kingdom	2	77 0.9×	25 0.5×	7 0.2×	2 0.2×	6 0.6×	2	107
Linden Muellner-Wong Australia	8	227 2.8×	5 0.1×	35 1.2×	9 0.9×	4 0.4×	9	294
Karen Culotta France	7	137 1.7×	51 1.1×	11 0.4×	67 6.7×	15 1.5×	8	287
Liam Ferguson United Kingdom	4	31 0.4×	6 0.1×	10 0.3×	3 0.3×	4 0.4×	4	76
Qiang Luo China	8	83 1.0×	5 0.1×	17 0.6×	19 1.9×	15 1.5×	21	154
Shengdi Li China	8	92 1.1×	3 0.1×	24 0.8×	11 1.1×	23 2.3×	9	173
Subina Mehta United States	10	186 2.3×	118 2.5×	10 0.3×	2 0.2×	3 0.3×	26	246

Countries citing papers authored by Fengji Tan

Since Specialization

Citations

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

Fields of papers citing papers by Fengji Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengji Tan

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

All Works

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5 of 5 papers shown

1.

Zi, Jin, Shenyan Zhang, Ruo Zhou, et al.. (2014). Expansion of the Ion Library for Mining SWATH-MS Data through Fractionation Proteomics. Analytical Chemistry. 86(15). 7242–7246. 30 indexed citations

2.

Su, Longxiang, Ruo Zhou, Changting Liu, et al.. (2013). Urinary proteomics analysis for sepsis biomarkers with iTRAQ labeling and two-dimensional liquid chromatography–tandem mass spectrometry. The Journal of Trauma: Injury, Infection, and Critical Care. 74(3). 940–945. 25 indexed citations

3.

Su, Longxiang, Ruo Zhou, Kun Xiao, et al.. (2013). Identification of Novel Biomarkers for Sepsis Prognosis via Urinary Proteomic Analysis Using iTRAQ Labeling and 2D-LC-MS/MS. PLoS ONE. 8(1). e54237–e54237. 65 indexed citations

4.

Li, Dazhi, Fengji Tan, Xin Li, et al.. (2012). An Improvement of Shotgun Proteomics Analysis by Adding Next-Generation Sequencing Transcriptome Data in Orange. PLoS ONE. 7(6). e39494–e39494. 15 indexed citations

5.

Li, Dazhi, Fengji Tan, Xin Li, et al.. (2012). Correction: An Improvement of Shotgun Proteomics Analysis by Adding Next-Generation Sequencing Transcriptome Data in Orange. PLoS ONE. 7(10). 5 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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