Caroline M. Weight

32 total papers · 462 total citations
12 papers, 250 citations indexed

About

Caroline M. Weight is a scholar working on Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Caroline M. Weight has authored 12 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Caroline M. Weight's work include Pneumonia and Respiratory Infections (7 papers), Bacterial Infections and Vaccines (3 papers) and Streptococcal Infections and Treatments (3 papers). Caroline M. Weight is often cited by papers focused on Pneumonia and Respiratory Infections (7 papers), Bacterial Infections and Vaccines (3 papers) and Streptococcal Infections and Treatments (3 papers). Caroline M. Weight collaborates with scholars based in United Kingdom, United States and Netherlands. Caroline M. Weight's co-authors include Richard Waites, Simon R. Carding, Charles A. Parkos, Robert S. Heyderman, Jeremy Brown, Simon P. Jochems, Daniela M. Ferreira, Nikki Horn, Nikolaus Wellner and Emily Jones and has published in prestigious journals such as Nature Communications, The Plant Journal and Annals of the New York Academy of Sciences.

In The Last Decade

Caroline M. Weight

12 papers receiving 244 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Caroline M. Weight	79	74	68	45	30	12	250
Shaojun Yang	68 0.9×	94 1.3×	116 1.7×	78 1.7×	7 0.2×	17	302
Lauriane de Fabritus	21 0.3×	71 1.0×	25 0.4×	66 1.5×	17 0.6×	9	306
Uma S. Kamaraj	17 0.2×	106 1.4×	43 0.6×	27 0.6×	12 0.4×	10	314
Katie A. Miller	17 0.2×	57 0.8×	78 1.1×	37 0.8×	46 1.5×	10	327
Lin Yang	28 0.4×	96 1.3×	41 0.6×	21 0.5×	13 0.4×	13	239
Jeffrey M. Williams	28 0.4×	137 1.9×	111 1.6×	53 1.2×	10 0.3×	13	326
Jiayi Sun	38 0.5×	119 1.6×	70 1.0×	56 1.2×	20 0.7×	20	250
Yu-Hua Qi	79 1.0×	92 1.2×	65 1.0×	33 0.7×	15 0.5×	20	309
H. Fogh	33 0.4×	95 1.3×	81 1.2×	57 1.3×	41 1.4×	13	321
Tanmoy Roychowdhury	61 0.8×	178 2.4×	46 0.7×	13 0.3×	21 0.7×	11	316

Countries citing papers authored by Caroline M. Weight

Since Specialization

Citations

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

Fields of papers citing papers by Caroline M. Weight

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline M. Weight. 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 Caroline M. Weight. The network helps show where Caroline M. Weight may publish in the future.

Co-authorship network of co-authors of Caroline M. Weight

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

All Works

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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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