Camilla Pang

801 total citations · 1 hit paper
4 papers, 466 citations indexed

About

Camilla Pang is a scholar working on Molecular Biology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Camilla Pang has authored 4 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Animal Science and Zoology. Recurrent topics in Camilla Pang's work include SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 Clinical Research Studies (1 paper) and Fibroblast Growth Factor Research (1 paper). Camilla Pang is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 Clinical Research Studies (1 paper) and Fibroblast Growth Factor Research (1 paper). Camilla Pang collaborates with scholars based in United Kingdom, Malaysia and India. Camilla Pang's co-authors include Paul Ashford, Christine Orengo, Nicola Bordin, Clemens Rauer, Su Datt Lam, Natalie L. Dawson, Vaishali Waman, Mahnaz Abbasian, Neeladri Sen and Jonathan Lees and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Oncotarget.

In The Last Decade

Camilla Pang

4 papers receiving 459 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.

CATH: increased structural coverage of functional space

2020 280 citations Ian Sillitoe, Nicola Bordin et al. Nucleic Acids Research profile →

Peers

Camilla Pang

MB

MC

ID

CTM

GENET

Harry Scholes United Kingdom

Troy Taylor United States

S.E. Thomas United Kingdom

Benjamin S. Gully Australia

Nicholas Marze United States

Wei‐Zen Yang Taiwan

Susana Barrera-Vilarmau Spain

Taeyong Park South Korea

Nathalie Ulryck France

Elin Teppa France

Harry Scholes United Kingdom

Camilla Pang

379 ×1.1

MB

95 ×1.2

MC

86 ×1.1

ID

57 ×1.3

CTM

25 ×0.8

GENET

Citations per year, relative to Camilla Pang Camilla Pang (= 1×) peers Harry Scholes

Countries citing papers authored by Camilla Pang

Since Specialization

Citations

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

Fields of papers citing papers by Camilla Pang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilla Pang

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

All Works

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4 of 4 papers shown

1.

Lam, Su Datt, Nicola Bordin, Vaishali Waman, et al.. (2020). SARS-CoV-2 spike protein predicted to form complexes with host receptor protein orthologues from a broad range of mammals. Scientific Reports. 10(1). 16471–16471. 80 indexed citations

2.

Sillitoe, Ian, Nicola Bordin, Natalie L. Dawson, et al.. (2020). CATH: increased structural coverage of functional space. Nucleic Acids Research. 49(D1). D266–D273. 280 indexed citations breakdown →

3.

Ashford, Paul, Camilla Pang, Aurelio A. Moya‐García, Tolulope Adeyelu, & Christine Orengo. (2019). A CATH domain functional family based approach to identify putative cancer driver genes and driver mutations. Scientific Reports. 9(1). 263–263. 15 indexed citations

4.

Bunney, Tom D., Nethaji Thiyagarajan, Richard A. Norman, et al.. (2016). Landscape of activating cancer mutations in FGFR kinases and their differential responses to inhibitors in clinical use. Oncotarget. 7(17). 24252–24268. 91 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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