C H Blood

11 total papers · 1.0k total citations
10 papers, 884 citations indexed

About

C H Blood is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, C H Blood has authored 10 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in C H Blood's work include Protease and Inhibitor Mechanisms (5 papers), Cancer Treatment and Pharmacology (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). C H Blood is often cited by papers focused on Protease and Inhibitor Mechanisms (5 papers), Cancer Treatment and Pharmacology (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). C H Blood collaborates with scholars based in United States and United Kingdom. C H Blood's co-authors include Bruce R. Zetter, Pnina Brodt, Joachim Sasse, Daizhou Zhang, Toshikazu Yusa, E. F. Meyer, Wolfram Bode, F. Xavier Gomis‐Rüth, Istvan Botos and Ronald J. Doll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

C H Blood

10 papers receiving 847 citations

Hit Papers

Tumor interactions with t... 1990 2026 2002 2014 1990 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
C H Blood 482 318 222 204 183 10 884
Thomas M. Birkenmeier 315 0.7× 151 0.5× 94 0.4× 344 1.7× 95 0.5× 11 728
Adriana de la Torre 655 1.4× 485 1.5× 171 0.8× 426 2.1× 50 0.3× 9 1.0k
J P Witty 456 0.9× 494 1.6× 430 1.9× 179 0.9× 101 0.6× 11 1.0k
Kanji Hojo 560 1.2× 261 0.8× 242 1.1× 105 0.5× 73 0.4× 21 974
Shou‐Ih Hu 387 0.8× 260 0.8× 238 1.1× 70 0.3× 82 0.4× 10 835
Dieter Prechtel 597 1.2× 311 1.0× 405 1.8× 85 0.4× 58 0.3× 10 991
Sujatha Jagadeeswaran 462 1.0× 196 0.6× 359 1.6× 121 0.6× 48 0.3× 16 966
D. Campbell 388 0.8× 228 0.7× 416 1.9× 102 0.5× 151 0.8× 11 943
Ari Ristimäki 470 1.0× 229 0.7× 328 1.5× 43 0.2× 116 0.6× 13 780
Debra Weinstat‐Saslow 671 1.4× 284 0.9× 354 1.6× 58 0.3× 213 1.2× 12 935

Countries citing papers authored by C H Blood

Since Specialization
Citations

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

Fields of papers citing papers by C H Blood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C H Blood

This figure shows the co-authorship network connecting the top 25 collaborators of C H Blood. A scholar is included among the top collaborators of C H 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 C H Blood. C H Blood 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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