Phil Ancliff

59 total papers · 1.7k total citations
25 papers, 867 citations indexed

About

Phil Ancliff is a scholar working on Genetics, Hematology and Immunology. According to data from OpenAlex, Phil Ancliff has authored 25 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 10 papers in Hematology and 10 papers in Immunology. Recurrent topics in Phil Ancliff's work include Blood disorders and treatments (16 papers), Immunodeficiency and Autoimmune Disorders (10 papers) and Erythrocyte Function and Pathophysiology (7 papers). Phil Ancliff is often cited by papers focused on Blood disorders and treatments (16 papers), Immunodeficiency and Autoimmune Disorders (10 papers) and Erythrocyte Function and Pathophysiology (7 papers). Phil Ancliff collaborates with scholars based in United Kingdom, United States and India. Phil Ancliff's co-authors include David C. Linch, Rosemary E. Gale, Ian Hann, Ri Liesner, Adrian J. Thrasher, Jo Sinclair, Gareth E. Jones, Helena Kempski, Christine Kinnon and Yolanda Calle and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and Blood.

In The Last Decade

Phil Ancliff

24 papers receiving 852 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Phil Ancliff 399 348 229 224 168 25 867
Anders Lindmark 126 0.3× 339 1.0× 164 0.7× 288 1.3× 98 0.6× 23 792
Brigitte Kasper 182 0.5× 573 1.6× 412 1.8× 173 0.8× 74 0.4× 22 1.0k
Elizabeth Garabedian 256 0.6× 495 1.4× 84 0.4× 176 0.8× 46 0.3× 35 828
Toru Nakabayashi 113 0.3× 495 1.4× 93 0.4× 305 1.4× 250 1.5× 21 1.0k
Laure Croisille 136 0.3× 250 0.7× 531 2.3× 336 1.5× 154 0.9× 33 1.0k
Nobukuni Sawai 197 0.5× 295 0.8× 227 1.0× 363 1.6× 96 0.6× 28 714
CA Sieff 127 0.3× 395 1.1× 473 2.1× 167 0.7× 163 1.0× 25 906
Nancy Pech 278 0.7× 397 1.1× 142 0.6× 299 1.3× 91 0.5× 26 762
LC Andersson 89 0.2× 209 0.6× 258 1.1× 356 1.6× 180 1.1× 31 781
Tomoaki Kuwaki 105 0.3× 416 1.2× 311 1.4× 360 1.6× 85 0.5× 18 976

Countries citing papers authored by Phil Ancliff

Since Specialization
Citations

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

Fields of papers citing papers by Phil Ancliff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Ancliff

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

All Works

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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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