Susan T. Lord

5.0k total citations
117 papers, 4.0k citations indexed

About

Susan T. Lord is a scholar working on Pulmonary and Respiratory Medicine, Hematology and Physiology. According to data from OpenAlex, Susan T. Lord has authored 117 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Pulmonary and Respiratory Medicine, 46 papers in Hematology and 27 papers in Physiology. Recurrent topics in Susan T. Lord's work include Blood properties and coagulation (101 papers), Platelet Disorders and Treatments (30 papers) and Erythrocyte Function and Pathophysiology (25 papers). Susan T. Lord is often cited by papers focused on Blood properties and coagulation (101 papers), Platelet Disorders and Treatments (30 papers) and Erythrocyte Function and Pathophysiology (25 papers). Susan T. Lord collaborates with scholars based in United States, Japan and Netherlands. Susan T. Lord's co-authors include Oleg V. Gorkun, Michael R. Falvo, Richard Superfine, John W. Weisel, Martin Guthold, Michael M. Rooney, RR Hantgan, Wenhua Liu, Cameron G. Binnie and Nobuo Okumura and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Susan T. Lord

116 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan T. Lord United States 36 2.5k 1.5k 644 544 308 117 4.0k
Leonid Medved United States 40 2.4k 1.0× 1.3k 0.8× 608 0.9× 826 1.5× 327 1.1× 101 4.0k
Chandrasekaran Nagaswami United States 35 1.6k 0.6× 1.5k 1.0× 398 0.6× 481 0.9× 201 0.7× 82 3.9k
J McDonagh United States 29 1.3k 0.5× 994 0.6× 303 0.5× 569 1.0× 316 1.0× 57 2.8k
J J Sixma Netherlands 39 1.3k 0.5× 3.3k 2.1× 276 0.4× 704 1.3× 232 0.8× 103 5.7k
Tatiana P. Ugarova United States 35 826 0.3× 714 0.5× 204 0.3× 861 1.6× 344 1.1× 79 3.4k
Makoto Handa Japan 42 915 0.4× 3.1k 2.0× 234 0.4× 954 1.8× 307 1.0× 184 5.2k
Timothy M. Wick United States 27 424 0.2× 859 0.6× 781 1.2× 1.1k 2.0× 228 0.7× 50 4.0k
Lawrence Leung United States 44 631 0.3× 1.9k 1.3× 336 0.5× 1.6k 2.9× 198 0.6× 113 4.8k
Pierre Mangin France 38 665 0.3× 2.1k 1.3× 116 0.2× 740 1.4× 196 0.6× 104 3.9k
Marcin Majka Poland 48 637 0.3× 1.4k 0.9× 374 0.6× 3.8k 7.1× 286 0.9× 173 8.4k

Countries citing papers authored by Susan T. Lord

Since Specialization
Citations

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

Fields of papers citing papers by Susan T. Lord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan T. Lord

This figure shows the co-authorship network connecting the top 25 collaborators of Susan T. Lord. A scholar is included among the top collaborators of Susan T. Lord 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 Susan T. Lord. Susan T. Lord 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.
Huang, Lihong & Susan T. Lord. (2013). The isolation of fibrinogen monomer dramatically influences fibrin polymerization. Thrombosis Research. 131(6). e258–e263. 7 indexed citations
2.
Ping, Lifang, et al.. (2012). An engineered fibrinogen variant AαQ328,366P does not polymerise normally, but retains the ability to form α cross-links. Thrombosis and Haemostasis. 109(2). 199–206. 1 indexed citations
3.
4.
Hudson, Nathan E., John R. Houser, E. Timothy O’Brien, et al.. (2010). Stiffening of Individual Fibrin Fibers Equitably Distributes Strain and Strengthens Networks. Biophysical Journal. 98(8). 1632–1640. 69 indexed citations
5.
Falvo, Michael R., Oleg V. Gorkun, & Susan T. Lord. (2010). The molecular origins of the mechanical properties of fibrin. Biophysical Chemistry. 152(1-3). 15–20. 71 indexed citations
6.
Ping, Lifang, et al.. (2010). Fibrinogen residue γAla341 Is Necessary for Calcium Binding and ‘A-a’ interaction.. Blood. 116(21). 1154–1154. 2 indexed citations
7.
Okumura, Nobuo, et al.. (2007). B:b interactions are essential for polymerization of variant fibrinogens with impaired holes ‘a’. Journal of Thrombosis and Haemostasis. 5(12). 2352–2359. 28 indexed citations
8.
Lord, Susan T., et al.. (2004). Investigation of residues in the fibrin(ogen) γ chain involved in tissue plasminogen activator binding and plasminogen activation. Blood Coagulation & Fibrinolysis. 15(6). 451–461. 5 indexed citations
9.
Kerlin, Bryce A., Brian C. Cooley, Berend Isermann, et al.. (2003). Cause-effect relation between hyperfibrinogenemia and vascular disease. Blood. 103(5). 1728–1734. 77 indexed citations
10.
Hogan, Kelly A., et al.. (2002). Mouse Models in Coagulation. Thrombosis and Haemostasis. 87(4). 563–574. 38 indexed citations
11.
Soslau, Gerald, Reiner Class, Doris A. Morgan, et al.. (2001). Unique Pathway of Thrombin-induced Platelet Aggregation Mediated by Glycoprotein Ib. Journal of Biological Chemistry. 276(24). 21173–21183. 132 indexed citations
12.
Remijn, Jasper A., Kelly A. Hogan, Susan T. Lord, et al.. (2001). Mutations on Fibrinogen (γ316–322) Are Associated with Reduction in Platelet Adhesion Under Flow Conditions. Annals of the New York Academy of Sciences. 936(1). 444–448. 3 indexed citations
13.
Rooney, Michael M., Leslie V. Parise, & Susan T. Lord. (1996). Dissecting Clot Retraction and Platelet Aggregation. Journal of Biological Chemistry. 271(15). 8553–8555. 86 indexed citations
14.
Koopman, J., F. Haverkate, Jos Grimbergen, et al.. (1993). Molecular basis for fibrinogen Dusart (A alpha 554 Arg-->Cys) and its association with abnormal fibrin polymerization and thrombophilia.. Journal of Clinical Investigation. 91(4). 1637–1643. 91 indexed citations
15.
Koopman, J., F. Haverkate, Susan T. Lord, Jos Grimbergen, & Pier Mannuccio Mannucci. (1992). Molecular basis of fibrinogen Naples associated with defective thrombin binding and thrombophilia. Homozygous substitution of B beta 68 Ala----Thr.. Journal of Clinical Investigation. 90(1). 238–244. 61 indexed citations
16.
Ni, Feng, Yasuo Konishi, Ronald B. Frazier, Harold A. Scheraga, & Susan T. Lord. (1989). High-resolution NMR studies of fibrinogen-like peptides in solution: interaction of thrombin with residues 1-23 of the A.alpha. chain of human fibrinogen. Biochemistry. 28(7). 3082–3094. 66 indexed citations
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19.
Kant, J A, Susan T. Lord, & Robert H. Crabtree. (1983). Partial mRNA sequences for human A alpha, B beta, and gamma fibrinogen chains: evolutionary and functional implications.. Proceedings of the National Academy of Sciences. 80(13). 3953–3957. 76 indexed citations
20.
Queen, Cary, Susan T. Lord, Thomas F. McCutchan, & Maxine Singer. (1981). Three Segments from the Monkey Genome That Hybridize to Simian Virus 40 Have Common Structural Elements. Molecular and Cellular Biology. 1(12). 1061–1068. 5 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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