T W Strickland

1.1k citations
10 papers · 871 indexed · h-index 10
Topics
Erythropoietin and Anemia Treatment (5 papers)Erythrocyte Function and Pathophysiology (2 papers)Growth Hormone and Insulin-like Growth Factors (2 papers)
Partner nations
United StatesJapan

In The Last Decade

T W Strickland

10 papers receiving 808 citations

Peers

T W Strickland
Comparison fields: 5 of 82
  • Molecular Biology 443
  • Hematology 382
  • Immunology 174
  • Radiology, Nuclear Medicine and Imaging 112
  • Physiology 104
Replace MN Fukuda with:
MN Fukuda United States
Norimichi Ochi Japan
Laurie Feldman United States
Jean Bowen United States
Orlando J. Martelo United States
Francis P. Barbone United States
David W.C. Dekkers Netherlands
KG Waddick United States
Richard Faint United Kingdom
Barbara Cebula‐Obrzut Poland
T W Strickland relative to MN Fukuda United States MN Fukuda's profile →
Citations per field
00.5×1.5×1.9×
MN Fukuda · 1×
Citations per year

Countries citing papers authored by T W Strickland

Since Specialization
Citations

This map shows the geographic impact of T W Strickland'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 T W Strickland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T W Strickland more than expected).

Fields of papers citing papers by T W Strickland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T W Strickland. 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 T W Strickland. The network helps show where T W Strickland may publish in the future.

Co-authorship network of co-authors of T W Strickland

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1
Rational design of novel erythropoiesis stimulating protein A super-sialated molecule with increased biological activity
15
2 70
3 55
4 157
5 212
6 80
7 182
8 19
9 37
10 44

About T W Strickland

T W Strickland is a scholar working on Hematology, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 871 indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (5 papers), Erythrocyte Function and Pathophysiology (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Hematology (382 citations), Biotechnology (88 citations) and Immunology (174 citations). T W Strickland has collaborated with scholars based in United States and Japan. Frequent co-authors include Kenneth H. Aoki, Joan C. Egrie, S. Takasaki, Akira Kobata, F K Lin, Jeffrey K. Browne, John G. Pierce, Linda O. Narhi, Thomas C. Boone and Tsutomu Arakawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

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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