Nina Pan

943 total citations
8 papers, 705 citations indexed

About

Nina Pan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Nina Pan has authored 8 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Genetics. Recurrent topics in Nina Pan's work include Ubiquitin and proteasome pathways (2 papers), 14-3-3 protein interactions (2 papers) and Stress Responses and Cortisol (1 paper). Nina Pan is often cited by papers focused on Ubiquitin and proteasome pathways (2 papers), 14-3-3 protein interactions (2 papers) and Stress Responses and Cortisol (1 paper). Nina Pan collaborates with scholars based in United States, China and Thailand. Nina Pan's co-authors include Zhenyu Yue, Xianting Li, Vincent Vialou, Ming‐Hu Han, Stacy M. Ku, Barbara Juarez, Allyson K. Friedman, Rachael L. Neve, Jessica J. Walsh and David Dietz and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

Nina Pan

8 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nina Pan United States	6	282	221	145	125	121	8	705
Valeriy Sergeyev Russia	8	317 1.1×	504 2.3×	62 0.4×	55 0.4×	114 0.9×	13	954
Sanna K. Janhunen Finland	13	272 1.0×	433 2.0×	114 0.8×	66 0.5×	26 0.2×	20	704
Mireille Daigle Canada	18	512 1.8×	346 1.6×	72 0.5×	30 0.2×	68 0.6×	24	1000
Thierry Deltheil France	15	295 1.0×	584 2.6×	324 2.2×	38 0.3×	96 0.8×	15	961
Leandra R. Mangieri United States	11	150 0.5×	245 1.1×	253 1.7×	70 0.6×	31 0.3×	14	781
Eric S. Sweet United States	10	220 0.8×	249 1.1×	59 0.4×	56 0.4×	33 0.3×	12	638
Christopher D. Bown Canada	8	382 1.4×	423 1.9×	27 0.2×	54 0.4×	105 0.9×	8	984
Raúl Delgado‐Morales Spain	15	427 1.5×	119 0.5×	75 0.5×	26 0.2×	127 1.0×	24	764
Emanuela Izzo United States	12	173 0.6×	262 1.2×	51 0.4×	22 0.2×	108 0.9×	21	540
Grégory Dal Bo Canada	13	388 1.4×	592 2.7×	139 1.0×	17 0.1×	74 0.6×	23	1.2k

Countries citing papers authored by Nina Pan

Since Specialization

Citations

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

Fields of papers citing papers by Nina Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Pan

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

All Works

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8 of 8 papers shown

1.

Chen, Yiyao, Bingxin Yang, Xiaoyu Zhang, et al.. (2023). Biallelic variants in RBM42 cause a multisystem disorder with neurological, facial, cardiac, and musculoskeletal involvement. Protein & Cell. 15(1). 52–68. 4 indexed citations

2.

Wang, Yanlin, Xiang Qiu, Songchang Chen, et al.. (2023). Noninvasive Evaluation of Fetal Zygosity in Twin Pregnancies Involving a Binary Analysis of Single-Nucleotide Polymorphisms. Journal of Molecular Diagnostics. 25(9). 682–691. 1 indexed citations

3.

Pan, Nina, Songchang Chen, Xiaoqiang Cai, et al.. (2021). Low‐level germline mosaicism of a novel SMARCA2 missense variant: Expanding the phenotypic spectrum and mode of genetic transmission. Molecular Genetics & Genomic Medicine. 9(9). e1763–e1763. 5 indexed citations

4.

Schaffner, Adam, Xianting Li, Yacob Gómez-Llorente, et al.. (2019). Vitamin B12 modulates Parkinson’s disease LRRK2 kinase activity through allosteric regulation and confers neuroprotection. Cell Research. 29(4). 313–329. 53 indexed citations

5.

Friedman, Allyson K., Jessica J. Walsh, Barbara Juarez, et al.. (2014). Enhancing Depression Mechanisms in Midbrain Dopamine Neurons Achieves Homeostatic Resilience. Science. 344(6181). 313–319. 358 indexed citations

6.

Li, Xiaohua, Liqiang He, Ka Hing, et al.. (2012). Imperfect interface of Beclin1 coiled-coil domain regulates homodimer and heterodimer formation with Atg14L and UVRAG. Nature Communications. 3(1). 662–662. 140 indexed citations

7.

Li, Xianting, Qing Jun Wang, Nina Pan, et al.. (2011). Phosphorylation-Dependent 14-3-3 Binding to LRRK2 Is Impaired by Common Mutations of Familial Parkinson's Disease. PLoS ONE. 6(3). e17153–e17153. 136 indexed citations

8.

Li, Xianting, Qing Jun Wang, Nina Pan, et al.. (2011). Correction: Phosphorylation-Dependent 14-3-3 Binding to LRRK2 Is Impaired by Common Mutations of Familial Parkinson's Disease. PLoS ONE. 6(7). 8 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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