Sam D. Sanderson

1.9k total citations
48 papers, 1.6k citations indexed

About

Sam D. Sanderson is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Sam D. Sanderson has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 24 papers in Molecular Biology and 5 papers in Infectious Diseases. Recurrent topics in Sam D. Sanderson's work include Complement system in diseases (17 papers), Receptor Mechanisms and Signaling (13 papers) and Immunotherapy and Immune Responses (7 papers). Sam D. Sanderson is often cited by papers focused on Complement system in diseases (17 papers), Receptor Mechanisms and Signaling (13 papers) and Immunotherapy and Immune Responses (7 papers). Sam D. Sanderson collaborates with scholars based in United States, Australia and United Kingdom. Sam D. Sanderson's co-authors include Stephen M. Taylor, Edward L. Morgan, Trent M. Woodruff, Julia A. Ember, María Isabel Fonseca, Rahasson R. Ager, Andrea J. Tenner, Tony E. Hugli, Simon Sherman and Frank M. LaFerla and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Sam D. Sanderson

48 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam D. Sanderson United States 23 759 541 244 222 219 48 1.6k
Julia A. Ember United States 22 981 1.3× 608 1.1× 157 0.6× 141 0.6× 124 0.6× 34 1.8k
Vincenzo Mitolo Italy 25 462 0.6× 594 1.1× 298 1.2× 102 0.5× 269 1.2× 75 1.7k
Maria Pihlgren Switzerland 21 1.0k 1.4× 361 0.7× 542 2.2× 194 0.9× 297 1.4× 39 2.0k
Eamon P. McGreal United Kingdom 18 918 1.2× 434 0.8× 139 0.6× 193 0.9× 295 1.3× 28 1.8k
Francesco Ria Italy 29 1.3k 1.7× 681 1.3× 179 0.7× 460 2.1× 328 1.5× 84 2.6k
Alain C. Tissot Switzerland 14 1.0k 1.3× 617 1.1× 235 1.0× 188 0.8× 295 1.3× 23 2.2k
Donghong Yan United States 19 562 0.7× 822 1.5× 173 0.7× 93 0.4× 352 1.6× 29 1.9k
Marilyn L. Thoman United States 23 1.3k 1.8× 481 0.9× 206 0.8× 190 0.9× 269 1.2× 59 2.1k
J I Gallin United States 22 967 1.3× 636 1.2× 264 1.1× 84 0.4× 193 0.9× 25 2.0k
Scott J. Howell United States 21 546 0.7× 735 1.4× 99 0.4× 87 0.4× 164 0.7× 38 1.6k

Countries citing papers authored by Sam D. Sanderson

Since Specialization
Citations

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

Fields of papers citing papers by Sam D. Sanderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam D. Sanderson. 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 Sam D. Sanderson. The network helps show where Sam D. Sanderson may publish in the future.

Co-authorship network of co-authors of Sam D. Sanderson

This figure shows the co-authorship network connecting the top 25 collaborators of Sam D. Sanderson. A scholar is included among the top collaborators of Sam D. Sanderson 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 Sam D. Sanderson. Sam D. Sanderson 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.
Phillips, Joy A., et al.. (2015). Preliminary evidence that the novel host-derived immunostimulant EP67 can act as a mucosal adjuvant. Clinical Immunology. 161(2). 251–259. 6 indexed citations
2.
Sanderson, Sam D., et al.. (2014). Treatment with the C5a receptor/CD88 antagonist PMX205 reduces inflammation in a murine model of allergic asthma. International Immunopharmacology. 21(2). 293–300. 26 indexed citations
3.
Cole, Garry T., Chiung-Yu Hung, Sam D. Sanderson, et al.. (2013). Novel Strategies to Enhance Vaccine Immunity against Coccidioidomycosis. PLoS Pathogens. 9(12). e1003768–e1003768. 35 indexed citations
4.
Sanderson, Sam D., Marilyn L. Thoman, Kornélia Kis, et al.. (2012). Innate Immune Induction and Influenza Protection Elicited by a Response-Selective Agonist of Human C5a. PLoS ONE. 7(7). e40303–e40303. 17 indexed citations
6.
Ager, Rahasson R., María Isabel Fonseca, Shu‐Hui Chu, et al.. (2010). Microglial C5aR (CD88) expression correlates with amyloid‐β deposition in murine models of Alzheimer’s disease. Journal of Neurochemistry. 113(2). 389–401. 79 indexed citations
7.
Fonseca, María Isabel, Rahasson R. Ager, Sam D. Sanderson, et al.. (2009). Treatment with a C5aR Antagonist Decreases Pathology and Enhances Behavioral Performance in Murine Models of Alzheimer’s Disease. The Journal of Immunology. 183(2). 1375–1383. 232 indexed citations
8.
Duryee, Michael J., Rick A. Bevins, Carmela M. Reichel, et al.. (2009). Immune responses to methamphetamine by active immunization with peptide-based, molecular adjuvant-containing vaccines. Vaccine. 27(22). 2981–2988. 52 indexed citations
10.
Proctor, Lavinia M., et al.. (2009). Complement factors C3a and C5a have distinct hemodynamic effects in the rat. International Immunopharmacology. 9(6). 800–806. 16 indexed citations
11.
Bevins, Rick A., Jamie L. Wilkinson, & Sam D. Sanderson. (2008). Vaccines to combat smoking. Expert Opinion on Biological Therapy. 8(4). 379–383. 14 indexed citations
12.
Joshi, Avadhut D., Peng Wang, Ganapati V. Hegde, et al.. (2006). Immunotherapy of Human Neuroblastoma Using Umbilical Cord Blood-Derived Effector Cells. Journal of Neuroimmune Pharmacology. 2(2). 202–212. 9 indexed citations
13.
Allen‐Gipson, Diane, Anthony A. Floreani, Art J. Heires, et al.. (2005). Cigarette Smoke Extract Increases C5a Receptor Expression in Human Bronchial Epithelial Cells. Journal of Pharmacology and Experimental Therapeutics. 314(1). 476–482. 11 indexed citations
14.
Sanderson, Sam D., Maniyan P. Padmanilayam, Jonathan L. Vennerstrom, et al.. (2003). Immunization to nicotine with a peptide-based vaccine composed of a conformationally biased agonist of C5a as a molecular adjuvant. International Immunopharmacology. 3(1). 137–146. 56 indexed citations
15.
Turnquist, Hēth, A. Reber, Suling Li, et al.. (2001). A Region of Tapasin That Affects Ld Binding and Assembly. The Journal of Immunology. 167(8). 4443–4449. 29 indexed citations
17.
Paczkowski, Natalii J., et al.. (1999). Response‐selective C5a agonists: differential effects on neutropenia and hypotension in the rat. British Journal of Pharmacology. 128(3). 511–514. 32 indexed citations
18.
Finch, Angela M., et al.. (1995). The effect of C5a and U46619 on the isolated, perfused human placental lobule: Development of a method for the online estimation of tissue fluid accumulation. Journal of Pharmacological and Toxicological Methods. 34(3). 133–141. 2 indexed citations
19.
Sanderson, Sam D., Simon Sherman, Shawn M. Vogen, et al.. (1995). Decapeptide agonists of human C5a: the relationship between conformation and neutrophil response. Journal of Medicinal Chemistry. 38(18). 3669–3675. 25 indexed citations
20.
Sanderson, Sam D., et al.. (1994). Decapeptide Agonists of Human C5a: The Relationship between Conformation and Spasmogenic and Platelet Aggregatory Activities. Journal of Medicinal Chemistry. 37(19). 3171–3180. 33 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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