Philip D. Blood

12.0k citations
19 papers · 627 indexed · h-index 10
Topics
Genomics and Phylogenetic Studies (7 papers)Scientific Computing and Data Management (5 papers)Protein Structure and Dynamics (4 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Philip D. Blood

19 papers receiving 620 citations

Peers

Philip D. Blood
Comparison fields: 5 of 102
  • Molecular Biology 462
  • Cell Biology 205
  • Atomic and Molecular Physics, and Optics 105
  • Immunology 60
  • Biomedical Engineering 51
Replace Tobias Raisch with:
Tobias Raisch Germany
Rita Pancsa Hungary
Mark Pfuhl United Kingdom
Nicolas Chiaruttini Switzerland
Günes Bozkurt United States
Thomas Schalch Switzerland
Shlomit Yehudai‐Resheff Israel
Sabrina Pospich Germany
Ramachandra M. Bhaskara Germany
Lena Nekludova United States
Philip D. Blood relative to Tobias Raisch Germany Tobias Raisch's profile →
Citations per field
00.5×2.9×
Tobias Raisch · 1×
Citations per year

Countries citing papers authored by Philip D. Blood

Since Specialization
Citations

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

Fields of papers citing papers by Philip D. Blood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip D. Blood. 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 Philip D. Blood. The network helps show where Philip D. Blood may publish in the future.

Co-authorship network of co-authors of Philip D. Blood

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 4
2 4
3 9
4 14
5 55
6 1
7 84
8 1
9 8
10 11
11 1
12 5
13 1
14 5
15 44
16 95
17 79
18 190
19 16

About Philip D. Blood

Philip D. Blood is a scholar working on Information Systems and Management, Parasitology and Molecular Biology, having authored 19 papers that have together received 627 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Scientific Computing and Data Management (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Cell Biology (205 citations), Molecular Biology (462 citations) and Aquatic Science (40 citations). Philip D. Blood has collaborated with scholars based in United States, Russia and Mexico. Frequent co-authors include Gregory A. Voth, Gary S. Ayton, Richard D. Swenson, Cezary Czaplewski, Harold A. Scheraga, Adam Liwo, Stanisław Ołdziej, Noushin Ghaffari, Charles D. Johnson and Rogerio R. Sotelo‐Mundo. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026