Sandra P. Chang

2.3k total citations
49 papers, 1.8k citations indexed

About

Sandra P. Chang is a scholar working on Immunology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Sandra P. Chang has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 20 papers in Public Health, Environmental and Occupational Health and 12 papers in Molecular Biology. Recurrent topics in Sandra P. Chang's work include Malaria Research and Control (20 papers), Mosquito-borne diseases and control (14 papers) and Invertebrate Immune Response Mechanisms (7 papers). Sandra P. Chang is often cited by papers focused on Malaria Research and Control (20 papers), Mosquito-borne diseases and control (14 papers) and Invertebrate Immune Response Mechanisms (7 papers). Sandra P. Chang collaborates with scholars based in United States, Colombia and Panama. Sandra P. Chang's co-authors include George Hui, Roger M. Perlmutter, Leroy Hood, John F. Kearney, Kenton Kramer, S E Case, Wasim A. Siddiqui, Helen L. Gibson, P J Barr and L Q Tam and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Sandra P. Chang

47 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra P. Chang United States 20 1.0k 875 470 225 223 49 1.8k
Howard M. Etlinger United States 20 229 0.2× 1.0k 1.2× 442 0.9× 58 0.3× 344 1.5× 42 1.5k
Federica Verra Italy 20 1.0k 1.0× 374 0.4× 222 0.5× 244 1.1× 19 0.1× 30 1.4k
Susan G. Langreth United States 21 897 0.9× 410 0.5× 430 0.9× 244 1.1× 40 0.2× 27 1.6k
Ahmed Raza United Kingdom 20 1.2k 1.2× 683 0.8× 210 0.4× 146 0.6× 59 0.3× 34 1.5k
Karen Yamaga United States 17 491 0.5× 508 0.6× 273 0.6× 80 0.4× 161 0.7× 39 1.1k
Tatsuya Tegoshi Japan 22 682 0.7× 506 0.6× 206 0.4× 582 2.6× 15 0.1× 63 1.7k
Gene H. MacDonald United States 15 218 0.2× 300 0.3× 374 0.8× 55 0.2× 35 0.2× 18 1.1k
Arturo Ferreira United States 11 683 0.7× 519 0.6× 376 0.8× 198 0.9× 82 0.4× 18 1.1k
Elizabeth Fowler Australia 23 503 0.5× 384 0.4× 674 1.4× 67 0.3× 20 0.1× 57 1.9k
Victor V. Tryon United States 16 270 0.3× 368 0.4× 314 0.7× 76 0.3× 23 0.1× 18 1.2k

Countries citing papers authored by Sandra P. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Sandra P. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra P. Chang. 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 Sandra P. Chang. The network helps show where Sandra P. Chang may publish in the future.

Co-authorship network of co-authors of Sandra P. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra P. Chang. A scholar is included among the top collaborators of Sandra P. Chang 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 Sandra P. Chang. Sandra P. Chang 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.
Gangcuangco, Louie Mar A., et al.. (2025). Dysregulation of complement components associated with inflammation and coagulation in virally suppressed people living with HIV. The Journal of Immunology. 214(11). 2871–2880.
2.
Chow, Dominic C., et al.. (2022). Characterization of Circulating Fibrocytes in People Living with HIV on Stable Antiretroviral Therapy. ImmunoHorizons. 6(11). 760–767. 1 indexed citations
3.
O’Donnell, Patrick, et al.. (2022). Pattern recognition receptor ligand-induced differentiation of human transitional B cells. PLoS ONE. 17(8). e0273810–e0273810. 1 indexed citations
4.
Sana, Theodore R., D. Benjamin Gordon, Steven M. Fischer, et al.. (2013). Global Mass Spectrometry Based Metabolomics Profiling of Erythrocytes Infected with Plasmodium falciparum. PLoS ONE. 8(4). e60840–e60840. 59 indexed citations
5.
Chang, Sandra P., et al.. (2010). Shift in epitope dominance of IgM and IgG responses to Plasmodium falciparum MSP1 block 4. Malaria Journal. 9(1). 14–14. 4 indexed citations
6.
7.
Reed, Zarifah, Marie Paule Kiény, Howard Engers, et al.. (2008). Comparison of immunogenicity of five MSP1-based malaria vaccine candidate antigens in rabbits. Vaccine. 27(10). 1651–1660. 26 indexed citations
8.
Chang, Sandra P., et al.. (2007). Characterization of cytosolic glutathione S-transferases in striped bass (Morone saxitilis). Ecotoxicology and Environmental Safety. 69(1). 58–63. 3 indexed citations
9.
Chang, Sandra P., et al.. (2006). Characterization of cytosolic glutathione S-transferases in California Halibut (Paralichthys californicus). Ecotoxicology and Environmental Safety. 66(2). 133–138. 6 indexed citations
10.
Work, Thierry M., et al.. (2000). Assessing humoral and cell-mediated immune response in Hawaiian green turtles, Chelonia mydas. Veterinary Immunology and Immunopathology. 74(3-4). 179–194. 32 indexed citations
11.
Yung, Raymond, Sandra P. Chang, Nahid Hemati, Kent J. Johnson, & Bruce Richardson. (1997). Mechanisms of drug‐induced lupus. IV. Comparison of procainamide and hydralazine with analogs in vitro and in vivo. Arthritis & Rheumatism. 40(8). 1436–1443. 84 indexed citations
12.
Yung, Raymond, Robert C. Williams, Kent J. Johnson, et al.. (1997). Mechanisms of drug-induced lupus: III. Sex-specific differences in T cell homing may explain increased disease severity in female mice. Arthritis & Rheumatism. 40(7). 1334–1343. 7 indexed citations
13.
Al‐Yaman, Fadwa, Blaise Genton, Kenton Kramer, et al.. (1996). Assessment of the Role of Naturally Acquired Antibody Levels to Plasmodium falciparum Merozoite Surface Protein-1 in Protecting Papua New Guinean Children from Malaria Morbidity. American Journal of Tropical Medicine and Hygiene. 54(5). 443–448. 104 indexed citations
14.
Locher, Christopher P., et al.. (1996). Plasmodium falciparum:gp195 Tripeptide Repeat-Specific Monoclonal Antibody Inhibits Parasite Growthin Vitro. Experimental Parasitology. 84(1). 74–83. 28 indexed citations
15.
Genton, Blaise, Kenton Kramer, Jack Taraika, et al.. (1995). Acquired antibody levels to Plasmodium falciparum merozoite surface antigen 1 in residents of a highly endemic area of Papua New Guinea. Transactions of the Royal Society of Tropical Medicine and Hygiene. 89(5). 555–559. 14 indexed citations
16.
Mawal, Yogesh, et al.. (1995). BamHI andHindIII repetitive DNA families in the rice genome. Genome. 38(2). 191–200. 5 indexed citations
17.
Jarvis, James N., et al.. (1993). Rheumatoid Factor Expression and Complement Activation in Children Congenitally Infected with Human Immunodeficiency Virus. Clinical Immunology and Immunopathology. 67(1). 50–54. 13 indexed citations
19.
20.
Hui, George & Sandra P. Chang. (1992). Plasmodium falciparum: Induction of biologically active antibodies to gp195 is dependent on the choice of adjuvants. Experimental Parasitology. 75(1). 155–157. 8 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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