Natalie Buchan

750 total citations
6 papers, 155 citations indexed

About

Natalie Buchan is a scholar working on Molecular Biology, Immunology and Computational Theory and Mathematics. According to data from OpenAlex, Natalie Buchan has authored 6 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Natalie Buchan's work include Computational Drug Discovery Methods (2 papers), Bioinformatics and Genomic Networks (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Natalie Buchan is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Bioinformatics and Genomic Networks (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Natalie Buchan collaborates with scholars based in United Kingdom, Australia and United States. Natalie Buchan's co-authors include Matthew D. Hall, Bhushan Bonde, Samiul Hasan, Nataša Pržulj, Kai Sun, Deepak K. Rajpal, Ranga Chandra Gudivada, Yue Webster, Carlos Alatorre and Philippe Sanséau and has published in prestigious journals such as The FASEB Journal, Drug Discovery Today and Respiratory Medicine.

In The Last Decade

Natalie Buchan

6 papers receiving 154 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie Buchan United Kingdom 6 92 42 32 18 14 6 155
Sepideh Sadegh Germany 7 164 1.8× 108 2.6× 22 0.7× 12 0.7× 12 0.9× 13 260
Xuan Xu China 10 88 1.0× 24 0.6× 85 2.7× 22 1.2× 14 1.0× 29 248
Serap Beldar Canada 5 74 0.8× 31 0.7× 25 0.8× 8 0.4× 5 0.4× 7 192
Marisol Salgado-Albarrán Mexico 8 224 2.4× 86 2.0× 20 0.6× 5 0.3× 11 0.8× 12 317
Ignacio J. Tripodi United States 5 80 0.9× 16 0.4× 9 0.3× 9 0.5× 6 0.4× 12 117
Kuoyuan Cheng United States 9 146 1.6× 19 0.5× 14 0.4× 22 1.2× 11 0.8× 16 267
Nelson Kibinge United Kingdom 8 81 0.9× 15 0.4× 14 0.4× 20 1.1× 4 0.3× 11 192
Ellie Ivanova United States 6 81 0.9× 44 1.0× 32 1.0× 6 0.3× 4 0.3× 9 183
Karl Alex Hedin Denmark 8 296 3.2× 15 0.4× 20 0.6× 26 1.4× 7 0.5× 10 374
Tiantian Mao China 4 155 1.7× 37 0.9× 37 1.2× 5 0.3× 28 2.0× 7 225

Countries citing papers authored by Natalie Buchan

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Buchan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Buchan

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

All Works

6 of 6 papers shown
1.
Patel, Meghana, Emma Koppe, Catriona Sharp, et al.. (2020). Pharmacological validation of targets regulating CD14 during macrophage differentiation. EBioMedicine. 61. 103039–103039. 40 indexed citations
2.
Condreay, Lynn D., Mathias Chiano, Héctor Ortega, et al.. (2017). No genetic association detected with mepolizumab efficacy in severe asthma. Respiratory Medicine. 132. 178–180. 14 indexed citations
3.
Sun, Kai, et al.. (2014). The integrated disease network. Integrative Biology. 6(11). 1069–1079. 21 indexed citations
4.
Hasan, Samiul, Bhushan Bonde, Natalie Buchan, & Matthew D. Hall. (2012). Network analysis has diverse roles in drug discovery. Drug Discovery Today. 17(15-16). 869–874. 35 indexed citations
5.
Buchan, Natalie, Deepak K. Rajpal, Yue Webster, et al.. (2011). The role of translational bioinformatics in drug discovery. Drug Discovery Today. 16(9-10). 426–434. 32 indexed citations
6.
Berry, Andrew, Laura Matthews, Maryam Jangani, et al.. (2010). Interferon‐inducible factor 16 is a novel modulator of glucocorticoid action. The FASEB Journal. 24(6). 1700–1713. 13 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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