Jennifer Todd

8 total papers · 481 total citations
7 papers, 357 citations indexed

About

Jennifer Todd is a scholar working on Social Psychology, General Health Professions and Epidemiology. According to data from OpenAlex, Jennifer Todd has authored 7 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Social Psychology, 3 papers in General Health Professions and 3 papers in Epidemiology. Recurrent topics in Jennifer Todd's work include Mental Health Treatment and Access (3 papers), Substance Abuse Treatment and Outcomes (3 papers) and Urban, Neighborhood, and Segregation Studies (2 papers). Jennifer Todd is often cited by papers focused on Mental Health Treatment and Access (3 papers), Substance Abuse Treatment and Outcomes (3 papers) and Urban, Neighborhood, and Segregation Studies (2 papers). Jennifer Todd collaborates with scholars based in United Kingdom and United States. Jennifer Todd's co-authors include David J. Pevalin, Mark P. Taylor, Gill Green and Alex Baldacchino and has published in prestigious journals such as Social Science & Medicine, Psychological Medicine and Social Psychiatry and Psychiatric Epidemiology.

In The Last Decade

Jennifer Todd

7 papers receiving 324 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer Todd 139 102 99 66 54 7 357
Charles D. Cowan 86 0.6× 67 0.7× 15 0.2× 14 0.2× 51 0.9× 13 394
Karen Hwang 38 0.3× 186 1.8× 155 1.6× 65 1.0× 7 0.1× 15 358
Baljit Gill 144 1.0× 27 0.3× 97 1.0× 95 1.4× 9 0.2× 9 345
Nicole Au 170 1.2× 32 0.3× 120 1.2× 55 0.8× 16 0.3× 12 336
Anna Skosireva 305 2.2× 80 0.8× 56 0.6× 26 0.4× 69 1.3× 10 365
Jostacio Lapitan 118 0.8× 34 0.3× 52 0.5× 11 0.2× 21 0.4× 7 338
Manuel P. Pardo 88 0.6× 50 0.5× 16 0.2× 24 0.4× 8 0.1× 11 382
Michael Hurd 114 0.8× 58 0.6× 137 1.4× 30 0.5× 77 1.4× 9 401
Sharanjit Uppal 221 1.6× 68 0.7× 85 0.9× 48 0.7× 5 0.1× 18 403
Lesley Hayes 116 0.8× 77 0.8× 21 0.2× 24 0.4× 9 0.2× 12 356

Countries citing papers authored by Jennifer Todd

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Todd

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Todd. A scholar is included among the top collaborators of Jennifer Todd 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 Jennifer Todd. Jennifer Todd 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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