Lawrence Lansing

1.2k total citations
10 papers, 886 citations indexed

About

Lawrence Lansing is a scholar working on Molecular Biology, Immunology and Allergy and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lawrence Lansing has authored 10 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and Allergy and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lawrence Lansing's work include Cell Adhesion Molecules Research (4 papers), S100 Proteins and Annexins (3 papers) and Complement system in diseases (2 papers). Lawrence Lansing is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), S100 Proteins and Annexins (3 papers) and Complement system in diseases (2 papers). Lawrence Lansing collaborates with scholars based in United States, France and Türkiye. Lawrence Lansing's co-authors include Paul J. Davis, Faith B. Davis, Shaker A. Mousa, Hung‐Yun Lin, Joel J. Bergh, Seema Mohamed, Aleck Hercbergs, Ai Shih, Heng‐Yuan Tang and Travis Keating and has published in prestigious journals such as Blood, Cancer Research and The FASEB Journal.

In The Last Decade

Lawrence Lansing

9 papers receiving 868 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence Lansing United States 7 399 397 152 135 123 10 886
Joel J. Bergh United States 10 337 0.8× 440 1.1× 121 0.8× 111 0.8× 159 1.3× 11 877
Seema Mohamed United States 10 388 1.0× 424 1.1× 141 0.9× 96 0.7× 128 1.0× 15 897
Yafa Ariav Israel 13 183 0.5× 658 1.7× 72 0.5× 80 0.6× 159 1.3× 13 1.2k
Zhengyu Luo United States 19 50 0.1× 786 2.0× 52 0.3× 69 0.5× 111 0.9× 28 1.3k
Annalisa Antonini Italy 14 36 0.1× 674 1.7× 144 0.9× 167 1.2× 42 0.3× 19 1.2k
Panagiotis Flevaris United States 13 105 0.3× 378 1.0× 217 1.4× 45 0.3× 54 0.4× 14 930
Marcel Blot-Chabaud France 14 154 0.4× 698 1.8× 86 0.6× 113 0.8× 50 0.4× 25 988
Zhihao Zhang China 13 62 0.2× 349 0.9× 35 0.2× 76 0.6× 50 0.4× 36 848
Lisa S. Ang Canada 11 66 0.2× 276 0.7× 31 0.2× 116 0.9× 59 0.5× 14 725
HU Ren-ming China 13 123 0.3× 476 1.2× 14 0.1× 90 0.7× 202 1.6× 31 897

Countries citing papers authored by Lawrence Lansing

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Lansing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Lansing

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Lansing. A scholar is included among the top collaborators of Lawrence Lansing 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 Lawrence Lansing. Lawrence Lansing 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.
Yalçın, Murat, Dhruba J. Bharali, Dyskin Ea, et al.. (2010). Tetraiodothyroacetic Acid and Tetraiodothyroacetic Acid Nanoparticle Effectively Inhibit the Growth of Human Follicular Thyroid Cell Carcinoma. Thyroid. 20(3). 281–286. 52 indexed citations
2.
Yalçın, Murat, Dhruba J. Bharali, Lawrence Lansing, et al.. (2009). Tetraidothyroacetic acid (tetrac) and tetrac nanoparticles inhibit growth of human renal cell carcinoma xenografts.. PubMed. 29(10). 3825–31. 78 indexed citations
3.
Lansing, Lawrence, et al.. (2008). Antiplatelet therapy with clopidogrel and aspirin in vascular diseases: clinical evidence for and against the combination. Expert Opinion on Pharmacotherapy. 9(3). 377–386. 6 indexed citations
5.
Lin, Hung‐Yun, Lawrence Lansing, Jean‐Michel Mérillon, et al.. (2006). Integrin αVβ3 contains a receptor site for resveratrol. The FASEB Journal. 20(10). 1742–1744. 118 indexed citations
6.
Davis, Faith B., Heng‐Yuan Tang, Ai Shih, et al.. (2006). Acting via a Cell Surface Receptor, Thyroid Hormone Is a Growth Factor for Glioma Cells. Cancer Research. 66(14). 7270–7275. 138 indexed citations
7.
Bergh, Joel J., Hung‐Yun Lin, Lawrence Lansing, et al.. (2005). Integrin αVβ3 Contains a Cell Surface Receptor Site for Thyroid Hormone that Is Linked to Activation of Mitogen-Activated Protein Kinase and Induction of Angiogenesis. Endocrinology. 146(7). 2864–2871. 456 indexed citations
8.
Bergh, Joel J., Hung‐Yun Lin, Lawrence Lansing, et al.. (2005). Integrin. V 3 Contains a Cell Surface Receptor Site for Thyroid Hormone that is Linked to Activation of MAPK and Induction of Angiogenesis. 7 indexed citations
9.
Tsan, Min‐Fu, et al.. (1998). Chronic relapsing thrombotic thrombocytopenic purpura: Role of therapy with cyclosporine. American Journal of Hematology. 57(1). 57–61. 30 indexed citations
10.
Tsan, Min‐Fu, et al.. (1998). Chronic relapsing thrombotic thrombocytopenic purpura: Role of therapy with cyclosporine. American Journal of Hematology. 57(1). 57–61.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026