Jia Ping Tan

743 total citations · 1 hit paper
7 papers, 302 citations indexed

About

Jia Ping Tan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Jia Ping Tan has authored 7 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Endocrinology, Diabetes and Metabolism and 1 paper in Surgery. Recurrent topics in Jia Ping Tan's work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (2 papers) and Renal and related cancers (2 papers). Jia Ping Tan is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (2 papers) and Renal and related cancers (2 papers). Jia Ping Tan collaborates with scholars based in China, Australia and United States. Jia Ping Tan's co-authors include José M. Polo, Xiaodong Liu, Amander T. Clark, Owen J. L. Rackham, Joseph Chen, Ryan Lister, Jan Schröder, Asma Aberkane, Yichen Zhou and Sue Mei Lim and has published in prestigious journals such as Nature, Scientific Reports and Nature Protocols.

In The Last Decade

Jia Ping Tan

7 papers receiving 296 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.

Modelling human blastocysts by reprogramming fibroblasts into iBlastoids

2021 240 citations Xiaodong Liu, Jia Ping Tan et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jia Ping Tan China	5	225	62	38	37	35	7	302
Monika Mohenska Australia	5	253 1.1×	63 1.0×	37 1.0×	36 1.0×	31 0.9×	6	339
Gaël Castel France	3	237 1.1×	70 1.1×	40 1.1×	44 1.2×	52 1.5×	3	315
Alok Javali Austria	5	304 1.4×	76 1.2×	44 1.2×	43 1.2×	54 1.5×	8	392
Giovanni Sestini Austria	6	304 1.4×	81 1.3×	54 1.4×	51 1.4×	57 1.6×	8	402
Stanley E. Strawbridge United Kingdom	4	296 1.3×	55 0.9×	26 0.7×	39 1.1×	22 0.6×	8	337
Asma Aberkane Belgium	6	256 1.1×	98 1.6×	43 1.1×	44 1.2×	87 2.5×	8	378
Harunobu Kagawa Austria	9	392 1.7×	85 1.4×	50 1.3×	53 1.4×	59 1.7×	12	495
Daniel A. Schmitz United States	4	438 1.9×	88 1.4×	65 1.7×	36 1.0×	42 1.2×	7	508
Liangwen Zhong China	9	210 0.9×	57 0.9×	16 0.4×	30 0.8×	62 1.8×	14	321
Pu-Yao Zhang China	8	184 0.8×	64 1.0×	23 0.6×	20 0.5×	20 0.6×	10	262

Countries citing papers authored by Jia Ping Tan

Since Specialization

Citations

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

Fields of papers citing papers by Jia Ping Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Ping Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Ping Tan. A scholar is included among the top collaborators of Jia Ping 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 Jia Ping Tan. Jia Ping 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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7 of 7 papers shown

1.

Tan, Jia Ping, Xiaodong Liu, & José M. Polo. (2024). Reprogramming fibroblast into human iBlastoids. Nature Protocols. 19(8). 2298–2316. 3 indexed citations

2.

Tan, Jia Ping, Xiaodong Liu, & José M. Polo. (2022). Establishment of human induced trophoblast stem cells via reprogramming of fibroblasts. Nature Protocols. 17(12). 2739–2759. 19 indexed citations

3.

Li, Zhaohuai, Jia Ping Tan, Lei Zhu, et al.. (2022). Single-cell RNA sequencing depicts the local cell landscape in thyroid-associated ophthalmopathy. Cell Reports Medicine. 3(8). 100699–100699. 30 indexed citations

4.

Liu, Xiaodong, Jia Ping Tan, Jan Schröder, et al.. (2021). Modelling human blastocysts by reprogramming fibroblasts into iBlastoids. Nature. 591(7851). 627–632. 240 indexed citations breakdown →

5.

Tan, Jia Ping, et al.. (2021). Induction of Human Naïve Pluripotent Stem Cells from Somatic Cells. Methods in molecular biology. 2416. 39–51. 2 indexed citations

6.

Tan, Jia Ping, Shanru Zuo, Feilong Wu, et al.. (2021). Integrated genomic analysis reveals regulatory pathways and dynamic landscapes of the tRNA transcriptome. Scientific Reports. 11(1). 5226–5226. 4 indexed citations

7.

Li, Zhaohuai, Mei Wang, Jia Ping Tan, et al.. (2021). Single-Cell RNA Sequencing Depicts the Local Cell Landscape in Thyroid-Associated Ophthalmopathy. SSRN Electronic Journal. 4 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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