F A Spring

820 total citations
10 papers, 666 citations indexed

About

F A Spring is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, F A Spring has authored 10 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Organic Chemistry. Recurrent topics in F A Spring's work include Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). F A Spring is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). F A Spring collaborates with scholars based in United Kingdom, United States and Nigeria. F A Spring's co-authors include Alejandro Aruffo, Ivan Stamenkovic, Armando Bartolazzi, David J. Anstee, B. Gardner, K L Simpson, C H Holmes, Peter Agre, Gregory M. Preston and DJ Anstee and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Cell Biology and Blood.

In The Last Decade

F A Spring

10 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F A Spring United Kingdom 8 331 276 158 155 146 10 666
LC Andersson Finland 15 355 1.1× 52 0.2× 209 1.3× 180 1.2× 54 0.4× 32 781
Karin E. Norgard-Sumnicht United States 7 417 1.3× 346 1.3× 130 0.8× 17 0.1× 299 2.0× 7 791
Kunio Matsuta Japan 13 283 0.9× 95 0.3× 237 1.5× 50 0.3× 44 0.3× 18 695
Ariane I. de Agostini United States 11 339 1.0× 411 1.5× 46 0.3× 20 0.1× 69 0.5× 13 706
Hugh B. Stamper United States 6 250 0.8× 83 0.3× 496 3.1× 41 0.3× 422 2.9× 7 861
Fiona C. Kimberley Netherlands 11 583 1.8× 66 0.2× 464 2.9× 34 0.2× 36 0.2× 13 924
Kahoko Hashimoto Japan 15 214 0.6× 40 0.1× 409 2.6× 94 0.6× 96 0.7× 29 714
Keisuke Aoyama Japan 16 402 1.2× 67 0.2× 280 1.8× 30 0.2× 92 0.6× 21 855
Srinivas Mamidi Germany 14 391 1.2× 51 0.2× 485 3.1× 71 0.5× 53 0.4× 21 868
Inna Verbovetski Israel 12 201 0.6× 81 0.3× 456 2.9× 38 0.2× 43 0.3× 13 647

Countries citing papers authored by F A Spring

Since Specialization
Citations

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

Fields of papers citing papers by F A Spring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F A Spring. 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 F A Spring. The network helps show where F A Spring may publish in the future.

Co-authorship network of co-authors of F A Spring

This figure shows the co-authorship network connecting the top 25 collaborators of F A Spring. A scholar is included among the top collaborators of F A Spring 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 F A Spring. F A Spring 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
1.
Masson, Dominique, Patricia Vusio, F A Spring, et al.. (2001). Epitope mapping of four novel CD44 monoclonal antibodies using surface plasmon resonance and soluble CD44. Transfusion Medicine. 11(6). 447–454. 4 indexed citations
2.
Bartolazzi, Armando, et al.. (1996). Glycosylation of CD44 is implicated in CD44-mediated cell adhesion to hyaluronan.. The Journal of Cell Biology. 132(6). 1199–1208. 160 indexed citations
3.
Bennett, Kelly L., Brett Modrell, B. W. Greenfield, et al.. (1995). Regulation of CD44 binding to hyaluronan by glycosylation of variably spliced exons.. The Journal of Cell Biology. 131(6). 1623–1633. 133 indexed citations
5.
Smith, Barbara L., Gregory M. Preston, F A Spring, David J. Anstee, & Peter Agre. (1994). Human red cell aquaporin CHIP. I. Molecular characterization of ABH and Colton blood group antigens.. Journal of Clinical Investigation. 94(3). 1043–1049. 96 indexed citations
6.
Spring, F A, B. Gardner, & DJ Anstee. (1992). Evidence that the antigens of the Yt blood group system are located on human erythrocyte acetylcholinesterase. Blood. 80(8). 2136–2141. 2 indexed citations
7.
Spring, F A, B. Gardner, & DJ Anstee. (1992). Evidence that the antigens of the Yt blood group system are located on human erythrocyte acetylcholinesterase. Blood. 80(8). 2136–2141. 32 indexed citations
8.
Anstee, David J., B. Gardner, F A Spring, et al.. (1991). New monoclonal antibodies in CD44 and CD58: their use to quantify CD44 and CD58 on normal human erythrocytes and to compare the distribution of CD44 and CD58 in human tissues.. PubMed. 74(2). 197–205. 64 indexed citations
9.
Spring, F A, et al.. (1990). An Erythrocyte Glycoprotein of Apparent Mr 60,000 Expresses the Sc1 and Sc2 Antigens. Vox Sanguinis. 58(2). 122–125. 9 indexed citations
10.
Holmes, C H, K L Simpson, S.D. Wainwright, et al.. (1990). Preferential expression of the complement regulatory protein decay accelerating factor at the fetomaternal interface during human pregnancy.. The Journal of Immunology. 144(8). 3099–3105. 118 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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