David Russo

1.1k total citations
24 papers, 810 citations indexed

About

David Russo is a scholar working on Hematology, Physiology and Epidemiology. According to data from OpenAlex, David Russo has authored 24 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hematology, 15 papers in Physiology and 7 papers in Epidemiology. Recurrent topics in David Russo's work include Blood groups and transfusion (17 papers), Erythrocyte Function and Pathophysiology (15 papers) and Trypanosoma species research and implications (6 papers). David Russo is often cited by papers focused on Blood groups and transfusion (17 papers), Erythrocyte Function and Pathophysiology (15 papers) and Trypanosoma species research and implications (6 papers). David Russo collaborates with scholars based in United States, United Kingdom and Switzerland. David Russo's co-authors include Colvin M. Redman, Soohee Lee, Dennis J. Grab, Paul Webster, Marion E. Reid, Michael K. Shaw, Ying Cao, James G Farmar, Aldo Mele and Melissa Lin and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The FASEB Journal.

In The Last Decade

David Russo

24 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Russo United States 18 488 447 193 163 147 24 810
Christelle Rouillac France 11 486 1.0× 351 0.8× 41 0.2× 166 1.0× 186 1.3× 14 726
Hiroko Kaita Canada 16 545 1.1× 369 0.8× 44 0.2× 169 1.0× 216 1.5× 112 901
Pascale Texier France 16 105 0.2× 361 0.8× 201 1.0× 432 2.7× 107 0.7× 23 936
Richard E. Broadberry Taiwan 14 361 0.7× 263 0.6× 58 0.3× 185 1.1× 129 0.9× 25 570
Cherylyn A. Savary United States 15 149 0.3× 89 0.2× 78 0.4× 128 0.8× 70 0.5× 25 808
B.J. Schmeckpeper United States 12 234 0.5× 32 0.1× 56 0.3× 242 1.5× 154 1.0× 23 731
Andrew R. Cullinane United States 16 97 0.2× 55 0.1× 44 0.2× 390 2.4× 401 2.7× 20 824
Enguerran Mouly France 11 115 0.2× 68 0.2× 53 0.3× 519 3.2× 154 1.0× 15 907
Linda Beischel United States 18 123 0.3× 38 0.1× 40 0.2× 217 1.3× 248 1.7× 34 865
Kai‐Hsin Chang United States 13 99 0.2× 109 0.2× 12 0.1× 262 1.6× 64 0.4× 15 540

Countries citing papers authored by David Russo

Since Specialization
Citations

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

Fields of papers citing papers by David Russo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Russo

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

All Works

20 of 20 papers shown
1.
Wendel, Silvano, et al.. (2004). A McLeod phenotype detected by random screening for K:‐4 [Kp(b–)] blood donors in Brazil. Transfusion. 44(11). 1579–1587. 5 indexed citations
2.
Jung, Hans H., Martin Hergersberg, M. Vogt, et al.. (2003). McLeod phenotype associated with a XK missense mutation without hematologic, neuromuscular, or cerebral involvement. Transfusion. 43(7). 928–938. 29 indexed citations
3.
Lee, Soohee, David Russo, Marion E. Reid, & Colvin M. Redman. (2003). Mutations that diminish expression of Kell surface protein and lead to the Kmod RBC phenotype. Transfusion. 43(8). 1121–1125. 27 indexed citations
4.
Russo, David, Soohee Lee, Marion E. Reid, & Colvin M. Redman. (2002). Point mutations causing the McLeod phenotype. Transfusion. 42(3). 287–293. 26 indexed citations
5.
Jung, Hans H., David Russo, Colvin M. Redman, & Sebastian Brandner. (2001). Kell and XK immunohistochemistry in McLeod myopathy. Muscle & Nerve. 24(10). 1346–1351. 36 indexed citations
6.
Lee, Soohee, David Russo, Alexander P. Reiner, et al.. (2001). Molecular Defects Underlying the Kell Null Phenotype. Journal of Biological Chemistry. 276(29). 27281–27289. 58 indexed citations
7.
Lee, Soohee, David Russo, Jeffrey J. Pu, Mengfatt Ho, & Colvin M. Redman. (2000). The mouse Kell blood group gene ( Kel ): cDNA sequence, genomic organization, expression, and enzymatic function. Immunogenetics. 52(1-2). 53–62. 13 indexed citations
8.
Russo, David, et al.. (2000). First example of anti‐Kx in a person with the McLeod phenotype and without chronic granulomatous disease. Transfusion. 40(11). 1371–1375. 13 indexed citations
9.
Lee, Soohee, David Russo, & Colvin M. Redman. (2000). The Kell blood group system: Kell and XK membrane proteins. Seminars in Hematology. 37(2). 113–121. 75 indexed citations
10.
Russo, David, Xu Wu, Colvin M. Redman, & Soohee Lee. (2000). Expression of Kell blood group protein in nonerythroid tissues. Blood. 96(1). 340–346. 6 indexed citations
11.
Lee, Soohee, David Russo, & Colvin M. Redman. (2000). Functional and structural aspects of the kell blood group system. Transfusion Medicine Reviews. 14(2). 93–103. 44 indexed citations
12.
Russo, David, Soohee Lee, & Colvin M. Redman. (1999). Intracellular assembly of Kell and XK blood group proteins. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1461(1). 10–18. 23 indexed citations
13.
Redman, Colvin M., David Russo, & Soohee Lee. (1999). Kell, Kx and the McLeod syndrome. Best Practice & Research Clinical Haematology. 12(4). 621–635. 27 indexed citations
14.
Lee, Soohee, Melissa Lin, Aldo Mele, et al.. (1999). Proteolytic Processing of Big Endothelin-3 by the Kell Blood Group Protein. Blood. 94(4). 1440–1450. 3 indexed citations
15.
Russo, David, Colvin M. Redman, & Soohee Lee. (1998). Association of XK and Kell Blood Group Proteins. Journal of Biological Chemistry. 273(22). 13950–13956. 97 indexed citations
16.
Russo, David, Dennis Williams, & Dennis J. Grab. (1994). Mechanisms for the elimination of potentially lytic complement-fixing variable surface glycoprotein antibody-complexes inTrypanosoma brucei. Parasitology Research. 80(6). 487–492. 25 indexed citations
17.
Williamson, L. M., Joyce Poole, Colvin M. Redman, et al.. (1994). Transient loss of proteins carrying Kell and Lutheran red cell antigens during consecutive relapses of autoimmune thrombocytopenia. British Journal of Haematology. 87(4). 805–812. 22 indexed citations
18.
Russo, David, Dennis J. Grab, John D. Lonsdale‐Eccles, Michael K. Shaw, & Dennis Williams. (1993). Directional movement of variable surface glycoprotein-antibody complexes in Trypanosoma brucei.. PubMed. 62(2). 432–41. 21 indexed citations
19.
Grab, Dennis J., et al.. (1992). Transferrin binding proteins in Trypanosoma brucei. The FASEB Journal. 1 indexed citations
20.
Webster, Paul, David Russo, & Samuel J. Black. (1990). The interaction of Trypanosoma brucei with antibodies to variant surface glycoproteins. Journal of Cell Science. 96(2). 249–255. 24 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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