H. Pan

413 total citations
14 papers, 249 citations indexed

About

H. Pan is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, H. Pan has authored 14 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in H. Pan's work include Genetic and phenotypic traits in livestock (2 papers), Birth, Development, and Health (2 papers) and Sexual Differentiation and Disorders (2 papers). H. Pan is often cited by papers focused on Genetic and phenotypic traits in livestock (2 papers), Birth, Development, and Health (2 papers) and Sexual Differentiation and Disorders (2 papers). H. Pan collaborates with scholars based in United Kingdom, China and India. H. Pan's co-authors include Tim Cole, Gary Butler, S G Ratcliffe, Jat Sandhu, Mario Cortina‐Borja, F. P. Kelly, Harvey Goldstein, John A. Jones, Nicoletta Masera and David J. Morrell and has published in prestigious journals such as Journal of Investigative Dermatology, Statistics in Medicine and Biostatistics.

In The Last Decade

H. Pan

11 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Pan United Kingdom 6 92 87 55 51 37 14 249
Chunxiu Gong China 10 93 1.0× 45 0.5× 92 1.7× 36 0.7× 89 2.4× 30 282
HA Delemarre‐van de Waal Netherlands 9 84 0.9× 107 1.2× 61 1.1× 26 0.5× 85 2.3× 13 316
Sowmya Krishnan United States 12 59 0.6× 79 0.9× 72 1.3× 51 1.0× 79 2.1× 25 330
Jianhua Sun China 11 31 0.3× 76 0.9× 27 0.5× 43 0.8× 43 1.2× 28 235
Shahzya S. Huda United Kingdom 7 85 0.9× 229 2.6× 16 0.3× 59 1.2× 31 0.8× 10 451
Anton Holmgren Sweden 11 134 1.5× 141 1.6× 16 0.3× 54 1.1× 19 0.5× 25 285
Ketan Gondhalekar India 9 70 0.8× 31 0.4× 43 0.8× 38 0.7× 8 0.2× 46 243
E. Rogucka Poland 11 72 0.8× 47 0.5× 45 0.8× 57 1.1× 33 0.9× 21 342
Małgorzata Kowal Poland 13 255 2.8× 127 1.5× 18 0.3× 68 1.3× 22 0.6× 56 411
Malcolm Schwartz United States 5 35 0.4× 23 0.3× 45 0.8× 15 0.3× 54 1.5× 7 261

Countries citing papers authored by H. Pan

Since Specialization
Citations

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

Fields of papers citing papers by H. Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Pan

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

All Works

14 of 14 papers shown
1.
Pan, H., et al.. (2025). A time series neural network-based early warning system for thermal power station. International Journal of Information and Communication Technology. 26(4). 106–122.
2.
Pan, H., et al.. (2025). A 3-Dimensional-Optimized Artificial Imaging Model for the Skin Tumor Burden Assessment of Mycosis Fungoides. Journal of Investigative Dermatology. 146(1). 55–63.e7. 1 indexed citations
3.
Xiong, Ruiqin, et al.. (2025). STPam: Software for Intelligently Analyzing and Mining Spatiotemporal Processes Based on Multi-Source Big Data. ISPRS International Journal of Geo-Information. 14(2). 69–69.
4.
Pan, H., et al.. (2024). Facial Skin Aging Characteristics of the Old-Perceived Age in a 20–40 Years Old Chinese Female Population. Clinical Cosmetic and Investigational Dermatology. Volume 17. 1117–1125. 1 indexed citations
6.
Tan, Dandan, et al.. (2023). [Clinical and genetic characteristics of 9 rare cases with coexistence of dual genetic diagnoses].. PubMed. 61(4). 345–350. 1 indexed citations
7.
Cole, Tim, H. Pan, & Gary Butler. (2013). A mixed effects model to estimate timing and intensity of pubertal growth from height and secondary sexual characteristics. Annals of Human Biology. 41(1). 76–83. 59 indexed citations
8.
Cole, Tim, Mario Cortina‐Borja, Jat Sandhu, F. P. Kelly, & H. Pan. (2007). Nonlinear growth generates age changes in the moments of the frequency distribution: the example of height in puberty. Biostatistics. 9(1). 159–171. 25 indexed citations
9.
Pan, H. & Tim Cole. (2004). A comparison of goodness of fit tests for age‐related reference ranges. Statistics in Medicine. 23(11). 1749–1765. 104 indexed citations
10.
Ratcliffe, S G, Nicoletta Masera, John A. Jones, et al.. (1995). Urinary insulin-like-growth factor I in normal children: relationship to age, pubertal status and urinary growth hormone.. PubMed. 5(1). 53–9. 8 indexed citations
11.
Ratcliffe, S G, et al.. (1994). The growth of XXX females: population-based studies. Annals of Human Biology. 21(1). 57–66. 11 indexed citations
12.
Pan, H. & S G Ratcliffe. (1992). A new method of deriving velocity and acceleration curves for height from the kernel estimation of distance. Annals of Human Biology. 19(3). 303–316. 5 indexed citations
13.
Ratcliffe, S G, et al.. (1992). Growth during puberty in the XYY boy. Annals of Human Biology. 19(6). 579–587. 29 indexed citations
14.
Pan, H., et al.. (1992). A two-level cross-sectional model using grafted polynomials. Annals of Human Biology. 19(4). 337–346. 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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