S. Higgs

712 total citations
8 papers, 505 citations indexed

About

S. Higgs is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Immunology. According to data from OpenAlex, S. Higgs has authored 8 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 2 papers in Infectious Diseases and 2 papers in Immunology. Recurrent topics in S. Higgs's work include Mosquito-borne diseases and control (7 papers), Invertebrate Immune Response Mechanisms (2 papers) and Viral Infections and Vectors (2 papers). S. Higgs is often cited by papers focused on Mosquito-borne diseases and control (7 papers), Invertebrate Immune Response Mechanisms (2 papers) and Viral Infections and Vectors (2 papers). S. Higgs collaborates with scholars based in Slovakia, United States and United Kingdom. S. Higgs's co-authors include Barry J. Beaty, Marı́a de Lourdes Muñoz, Ildefonso Fernández-Salas, Kristine E. Bennett, José A. Farfán-Ale, William C. Black, Ken E. Olson, Ernest A. Gould, Jennifer L. Woodring and William C. Marquardt and has published in prestigious journals such as Journal of General Virology, American Journal of Tropical Medicine and Hygiene and Archives of Virology.

In The Last Decade

S. Higgs

8 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Higgs Slovakia	8	443	291	172	79	53	8	505
L H Lorenz United States	9	394 0.9×	248 0.9×	150 0.9×	46 0.6×	51 1.0×	14	449
Robert B. Tesh United States	12	575 1.3×	423 1.5×	130 0.8×	66 0.8×	44 0.8×	14	626
D T Mourya India	14	529 1.2×	379 1.3×	113 0.7×	48 0.6×	44 0.8×	21	590
Mangesh D. Gokhale India	12	443 1.0×	279 1.0×	277 1.6×	50 0.6×	54 1.0×	25	589
Mayke Leggewie Germany	12	413 0.9×	318 1.1×	209 1.2×	34 0.4×	51 1.0×	18	488
L. G. Mukwaya Uganda	11	395 0.9×	201 0.7×	132 0.8×	41 0.5×	100 1.9×	25	515
Nicholas A. Bergren United States	15	494 1.1×	444 1.5×	168 1.0×	36 0.5×	41 0.8×	21	593
Kate L. McElroy United States	14	701 1.6×	419 1.4×	432 2.5×	33 0.4×	65 1.2×	16	829
Xiaofang Guo China	14	474 1.1×	395 1.4×	149 0.9×	67 0.8×	37 0.7×	46	607
Payal D. Maharaj United States	12	481 1.1×	424 1.5×	110 0.6×	31 0.4×	68 1.3×	18	585

Countries citing papers authored by S. Higgs

Since Specialization

Citations

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

Fields of papers citing papers by S. Higgs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Higgs

This figure shows the co-authorship network connecting the top 25 collaborators of S. Higgs. A scholar is included among the top collaborators of S. Higgs 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 S. Higgs. S. Higgs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Zou, Jin, Dana L. Vanlandingham, S. Higgs, et al.. (2013). Quantitative Proteomic Analysis of theAnopheles gambiae(Diptera: Culicidae) Midgut Infected With O'nyong–Nyong Virus. Journal of Medical Entomology. 50(5). 1077–1088. 12 indexed citations

Bennett, Kristine E., Ken E. Olson, Marı́a de Lourdes Muñoz, et al.. (2002). Variation in vector competence for dengue 2 virus among 24 collections of Aedes aegypti from Mexico and the United States.. American Journal of Tropical Medicine and Hygiene. 67(1). 85–92. 217 indexed citations

Woodring, Jennifer L., S. Higgs, Barry J. Beaty, & William C. Marquardt. (1996). Natural cycles of vector-borne pathogens.. 51–72. 100 indexed citations

Jiang, Wen-Rong, A D Lowe, S. Higgs, H.W. Reid, & Ernest A. Gould. (1993). Single Amino Acid Codon Changes Detected in Louping Ill Virus Antibody-Resistant Mutants with Reduced Neurovirulence. Journal of General Virology. 74(5). 931–935. 97 indexed citations

Jones, Linda D., et al.. (1992). Saliva activated transmission (SAT) of Thogoto virus: relationship with vector potential of different haematophagous arthropods. Medical and Veterinary Entomology. 6(3). 261–265. 25 indexed citations

Higgs, S. & E. A. Gould. (1991). Differences in fusogenicity and mouse neurovirulence of Japanese encephalitis viruses. Archives of Virology. 119(1-2). 119–133. 17 indexed citations

Shiu, Stephen Y. W., et al.. (1991). 17D yellow fever vaccine virus envelope protein expressed by recombinant baculovirus is antigenically indistinguishable from authentic viral protein. Journal of General Virology. 72(6). 1451–1454. 11 indexed citations

Gould, Ernest A., A. Buckley, Patricia A. Cane, S. Higgs, & N. Cammack. (1989). Use of a Monoclonal Antibody Specific for Wild-type Yellow Fever Virus to Identify a Wild-type Antigenic Variant in 17D Vaccine Pools. Journal of General Virology. 70(7). 1889–1894. 26 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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