Jennifer Rubin

83 total papers · 1.2k total citations
54 papers, 789 citations indexed

About

Jennifer Rubin is a scholar working on Sociology and Political Science, General Health Professions and Political Science and International Relations. According to data from OpenAlex, Jennifer Rubin has authored 54 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Sociology and Political Science, 10 papers in General Health Professions and 7 papers in Political Science and International Relations. Recurrent topics in Jennifer Rubin's work include Community Development and Social Impact (6 papers), Migration and Labor Dynamics (6 papers) and Viral Infections and Immunology Research (5 papers). Jennifer Rubin is often cited by papers focused on Community Development and Social Impact (6 papers), Migration and Labor Dynamics (6 papers) and Viral Infections and Immunology Research (5 papers). Jennifer Rubin collaborates with scholars based in United States, United Kingdom and Switzerland. Jennifer Rubin's co-authors include Emma Disley, Lila Rabinovich, Michael S. Rendall, Barbara Janta, Flavia Tsang, Lisa Menning, Manish Patel, Jirka Taylor, Lee M. Hampton and Margaret Farrell and has published in prestigious journals such as The Lancet, Diabetes Care and The Journal of Infectious Diseases.

In The Last Decade

Jennifer Rubin

50 papers receiving 682 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 Rubin 192 191 164 153 126 54 789
Anh Ngo 181 0.9× 57 0.3× 154 0.9× 131 0.9× 49 0.4× 39 719
Thomas J. Bollyky 113 0.6× 23 0.1× 67 0.4× 154 1.0× 78 0.6× 43 714
Nahid Hatam 41 0.2× 53 0.3× 62 0.4× 199 1.3× 124 1.0× 85 699
Carrie Ho Kwan Yam 84 0.4× 41 0.2× 40 0.2× 284 1.9× 40 0.3× 38 641
Chun Chang 95 0.5× 41 0.2× 124 0.8× 362 2.4× 32 0.3× 67 862
Olushayo Oluseun Olu 212 1.1× 30 0.2× 82 0.5× 169 1.1× 71 0.6× 54 669
Erika Linnander 48 0.3× 52 0.3× 57 0.3× 292 1.9× 120 1.0× 43 748
Mala Ali Mapatano 192 1.0× 67 0.4× 100 0.6× 223 1.5× 45 0.4× 72 859
Yudong Miao 149 0.8× 38 0.2× 76 0.5× 171 1.1× 102 0.8× 49 679
Tapen Sinha 153 0.8× 48 0.3× 51 0.3× 44 0.3× 122 1.0× 58 842

Countries citing papers authored by Jennifer Rubin

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Rubin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Rubin

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