Bassam B. Damaj

1.7k total citations
30 papers, 1.4k citations indexed

About

Bassam B. Damaj is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Bassam B. Damaj has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Bassam B. Damaj's work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers) and Cell Adhesion Molecules Research (5 papers). Bassam B. Damaj is often cited by papers focused on Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers) and Cell Adhesion Molecules Research (5 papers). Bassam B. Damaj collaborates with scholars based in United States, Canada and Norway. Bassam B. Damaj's co-authors include Azzam A. Maghazachi, Marit Inngjerdingen, Paul H. Naccache, Catherine M. Bitler, Shaun R. McColl, Roberto Crea, Paul Lasko, Stéphane Richard, Taiping Chen and Yixin Jin and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Bassam B. Damaj

28 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bassam B. Damaj United States 19 665 553 322 107 99 30 1.4k
Núria Godessart Spain 21 341 0.5× 412 0.7× 228 0.7× 58 0.5× 72 0.7× 37 1.2k
Haya Lorberboum‐Galski Israel 23 607 0.9× 922 1.7× 141 0.4× 54 0.5× 127 1.3× 63 1.7k
Osamu Shiho Japan 11 495 0.7× 400 0.7× 152 0.5× 56 0.5× 53 0.5× 29 1.3k
Masaru Koyama Japan 6 334 0.5× 530 1.0× 215 0.7× 291 2.7× 38 0.4× 8 1.3k
Jayati Chakrabarti United States 24 299 0.4× 508 0.9× 600 1.9× 63 0.6× 57 0.6× 63 1.6k
Tomoyuki Tanaka Japan 18 300 0.5× 584 1.1× 247 0.8× 29 0.3× 115 1.2× 46 1.3k
Mrinal K. Sarkar United States 25 894 1.3× 551 1.0× 235 0.7× 47 0.4× 152 1.5× 43 1.8k
J. Goossens Belgium 15 668 1.0× 566 1.0× 191 0.6× 54 0.5× 39 0.4× 19 1.4k
Timothy S. Finco United States 13 1.6k 2.3× 1.5k 2.7× 597 1.9× 145 1.4× 120 1.2× 18 3.0k
Tatiana Efimova United States 19 146 0.2× 786 1.4× 225 0.7× 62 0.6× 58 0.6× 45 1.4k

Countries citing papers authored by Bassam B. Damaj

Since Specialization
Citations

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

Fields of papers citing papers by Bassam B. Damaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bassam B. Damaj. 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 Bassam B. Damaj. The network helps show where Bassam B. Damaj may publish in the future.

Co-authorship network of co-authors of Bassam B. Damaj

This figure shows the co-authorship network connecting the top 25 collaborators of Bassam B. Damaj. A scholar is included among the top collaborators of Bassam B. Damaj 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 Bassam B. Damaj. Bassam B. Damaj 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.
Damaj, Mona B., John L. Jifon, Susan L. Woodard, et al.. (2020). Unprecedented enhancement of recombinant protein production in sugarcane culms using a combinatorial promoter stacking system. Scientific Reports. 10(1). 13713–13713. 43 indexed citations
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Silva, Sérgio M.C., et al.. (2011). Transdermal and transbuccal drug delivery systems: Enhancement using iontophoretic and chemical approaches. International Journal of Pharmaceutics. 421(1). 53–62. 37 indexed citations
5.
Damaj, Bassam B., et al.. (2010). Enhanced in vitro transbuccal drug delivery of ondansetron HCl. International Journal of Pharmaceutics. 404(1-2). 66–74. 20 indexed citations
6.
Sand, Kristin Larsen, et al.. (2008). Splenic natural killer cell activity in two models of experimental neurodegenerative diseases. Journal of Cellular and Molecular Medicine. 13(8b). 2693–2703. 23 indexed citations
7.
Damaj, Bassam B., et al.. (2007). Functional Expression of H4 Histamine Receptor in Human Natural Killer Cells, Monocytes, and Dendritic Cells. The Journal of Immunology. 179(11). 7907–7915. 93 indexed citations
8.
Bitler, Catherine M., et al.. (2005). Hydrolyzed Olive Vegetation Water in Mice Has Anti-Inflammatory Activity. Journal of Nutrition. 135(6). 1475–1479. 134 indexed citations
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Gilbert, Caroline, Frédéric Barabé, Emmanuelle Rollet‐Labelle, et al.. (2001). Evidence for a Role for SAM68 in the Responses of Human Neutrophils to Ligation of CD32 and to Monosodium Urate Crystals. The Journal of Immunology. 166(7). 4664–4671. 19 indexed citations
11.
Inngjerdingen, Marit, Bassam B. Damaj, & Azzam A. Maghazachi. (2001). Expression and regulation of chemokine receptors in human natural killer cells. Blood. 97(2). 367–375. 240 indexed citations
12.
Inngjerdingen, Marit, Bassam B. Damaj, & Azzam A. Maghazachi. (2000). Human NK Cells Express CC Chemokine Receptors 4 and 8 and Respond to Thymus and Activation-Regulated Chemokine, Macrophage-Derived Chemokine, and I-309. The Journal of Immunology. 164(8). 4048–4054. 125 indexed citations
13.
Horlick, Robert A., Adriane Schilling, Philippe Samama, et al.. (2000). Combinatorial gene expression using multiple episomal vectors. Gene. 243(1-2). 187–194. 20 indexed citations
14.
Horlick, Robert A., Michael Ohlmeyer, Ilana L. Stroke, et al.. (1999). Small molecule antagonists of the bradykinin B1 receptor. Immunopharmacology. 43(2-3). 169–177. 23 indexed citations
15.
Inngjerdingen, Marit, A al-Aoukaty, Bassam B. Damaj, & Azzam A. Maghazachi. (1999). Differential Utilization of Cyclic ADP-Ribose Pathway by Chemokines to Induce the Mobilization of Intracellular Calcium in NK Cells. Biochemical and Biophysical Research Communications. 262(2). 467–472. 16 indexed citations
16.
Damaj, Bassam B., Shaun R. McColl, Kuldeep Neote, C A Hébert, & Paul H. Naccache. (1996). Diverging Signal Transduction Pathways Activated by Interleukin 8 (IL-8) and Related Chemokines in Human Neutrophils. Journal of Biological Chemistry. 271(34). 20540–20544. 54 indexed citations
17.
Damaj, Bassam B., et al.. (1996). Identification of G‐protein binding sites of the human interleukin‐8 receptors by functional mapping of the intracellular loops. The FASEB Journal. 10(12). 1426–1434. 53 indexed citations
18.
Damaj, Bassam B., Shaun R. McColl, Wahib Mahana, Michael F. Crouch, & Paul H. Naccache. (1996). Physical Association of Gi2α with Interleukin-8 Receptors. Journal of Biological Chemistry. 271(22). 12783–12789. 66 indexed citations
19.
Al‐Daccak, Reem, Bassam B. Damaj, Paul H. Naccache, & Walid Mourad. (1995). Superantigens initiate cognate CD4+ T cell/ B cell interactions leading to early activation and proliferation of B cells. European Journal of Immunology. 25(9). 2539–2543. 12 indexed citations
20.
Damaj, Bassam B., Walid Mourad, & Paul H. Naccache. (1992). Superantigen-mediated human monocyte-T lymphocyte interactions are associated with an MHC class II-, TCR/CD3-, and CD4-dependent mobilization of calcium in monocytes. The Journal of Immunology. 149(5). 1497–1503. 12 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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