Lin Nan

575 total citations · 1 hit paper
7 papers, 481 citations indexed

About

Lin Nan is a scholar working on Biomedical Engineering, Biomaterials and Spectroscopy. According to data from OpenAlex, Lin Nan has authored 7 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 3 papers in Biomaterials and 3 papers in Spectroscopy. Recurrent topics in Lin Nan's work include Analytical Chemistry and Chromatography (3 papers), Silk-based biomaterials and applications (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Lin Nan is often cited by papers focused on Analytical Chemistry and Chromatography (3 papers), Silk-based biomaterials and applications (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Lin Nan collaborates with scholars based in China and United States. Lin Nan's co-authors include Baoqi Zuo, Haiyan Zheng, Fred E. Regnier, James D. Pearson, Ping Yu, Yang Lu, Li−Na Zhu, Yue Qu, István Mazsaroff and Xiaolan Guo and has published in prestigious journals such as Analytical Biochemistry, ACS Applied Materials & Interfaces and Journal of Chromatography A.

In The Last Decade

Lin Nan

7 papers receiving 452 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.

Self-Healing, Self-Adhesive Silk Fibroin Conductive Hydrogel as a Flexible Strain Sensor

2021 250 citations Haiyan Zheng, Lin Nan et al. ACS Applied Materials & Interfaces profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lin Nan China	6	271	134	124	116	111	7	481
Yang Jiang China	12	306 1.1×	118 0.9×	29 0.2×	31 0.3×	47 0.4×	31	579
Tayfun Vural Türkiye	12	191 0.7×	77 0.6×	17 0.1×	164 1.4×	105 0.9×	15	577
Chenhui Yin China	13	196 0.7×	38 0.3×	63 0.5×	175 1.5×	56 0.5×	22	546
M. Zhang China	5	153 0.6×	59 0.4×	13 0.1×	45 0.4×	240 2.2×	12	531
Lan Jia China	14	207 0.8×	93 0.7×	176 1.4×	248 2.1×	189 1.7×	48	792
Lu Cheng China	10	251 0.9×	31 0.2×	33 0.3×	133 1.1×	120 1.1×	21	794
Dayong Ding China	13	580 2.1×	274 2.0×	11 0.1×	48 0.4×	151 1.4×	22	749
Michael A. Marin United States	7	123 0.5×	28 0.2×	178 1.4×	27 0.2×	168 1.5×	9	364
Alireza Sanati Iran	15	285 1.1×	70 0.5×	11 0.1×	256 2.2×	50 0.5×	27	602

Countries citing papers authored by Lin Nan

Since Specialization

Citations

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

Fields of papers citing papers by Lin Nan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Nan

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

All Works

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7 of 7 papers shown

1.

Guo, Xiaolan, et al.. (2021). Preparation and Biocompatibility Characterization of Silk Fibroin 3D Scaffolds. ACS Applied Bio Materials. 4(2). 1369–1380. 14 indexed citations

2.

Zhang, Xuan, Dong Zhu, Yuan Cheng, et al.. (2021). Preparation and Biocompatibility Characterization of Regenerated Silk Fibroin Films. Journal of Macromolecular Science Part B. 60(8). 603–615. 4 indexed citations

3.

Nan, Lin & Baoqi Zuo. (2021). Silk sericin/fibroin electrospinning dressings: a method for preparing a dressing material with high moisture vapor transmission rate. Journal of Biomaterials Science Polymer Edition. 32(15). 1983–1997. 21 indexed citations

4.

Zheng, Haiyan, et al.. (2021). Self-Healing, Self-Adhesive Silk Fibroin Conductive Hydrogel as a Flexible Strain Sensor. ACS Applied Materials & Interfaces. 13(33). 40013–40031. 250 indexed citations breakdown →

5.

Lu, Yang, et al.. (2019). Simultaneous separation, concentration and determination of trace fluoroquinolone antibiotics in environmental samples using a polymer aqueous two‐phase system coupled with HPLC. Journal of Chemical Technology & Biotechnology. 94(9). 2917–2927. 39 indexed citations

6.

Mazsaroff, István, et al.. (1987). Effects of large sample loads on column lifetime in preparative-scale liquid chromatography. Journal of Chromatography A. 410(1). 43–51. 18 indexed citations

7.

Pearson, James D., Lin Nan, & Fred E. Regnier. (1982). The importance of silica type for reverse-phase protein separations. Analytical Biochemistry. 124(1). 217–230. 135 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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