Helen C.S. Meier

104 total papers · 1.2k total citations
45 papers, 657 citations indexed

About

Helen C.S. Meier is a scholar working on Epidemiology, Immunology and Physiology. According to data from OpenAlex, Helen C.S. Meier has authored 45 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 11 papers in Immunology and 9 papers in Physiology. Recurrent topics in Helen C.S. Meier's work include Health disparities and outcomes (6 papers), Immune Cell Function and Interaction (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). Helen C.S. Meier is often cited by papers focused on Health disparities and outcomes (6 papers), Immune Cell Function and Interaction (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). Helen C.S. Meier collaborates with scholars based in United States, United Kingdom and Germany. Helen C.S. Meier's co-authors include Amanda M. Simanek, Bruce C. Mitchell, Jason Richardson, Lorraine Halinka Malcoe, Jessica D. Faul, Christine G. Parks, Allison E. Aiello, Colter Mitchell, Dale P. Sandler and Eleanor M. Simonsick and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Helen C.S. Meier

40 papers receiving 648 citations

Hit Papers

The legacy of structural ... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Helen C.S. Meier 112 111 105 103 99 45 657
Xiaohui Ren 94 0.8× 212 1.9× 61 0.6× 138 1.3× 82 0.8× 40 613
Yi Yang 94 0.8× 34 0.3× 93 0.9× 124 1.2× 256 2.6× 49 762
Rebecca B. Lawn 45 0.4× 68 0.6× 116 1.1× 55 0.5× 78 0.8× 26 697
Kim Robin van Daalen 90 0.8× 51 0.5× 38 0.4× 123 1.2× 35 0.4× 40 591
Ibrahim Abdollahpour 115 1.0× 68 0.6× 45 0.4× 144 1.4× 40 0.4× 43 662
Sarah D. Mills 61 0.5× 60 0.5× 161 1.5× 108 1.0× 45 0.5× 50 630
Carol Mita 60 0.5× 31 0.3× 43 0.4× 90 0.9× 54 0.5× 49 699
Sung‐Youn Chun 88 0.8× 100 0.9× 47 0.4× 140 1.4× 55 0.6× 47 689
Flaminia Chiesa 72 0.6× 38 0.3× 84 0.8× 62 0.6× 29 0.3× 28 743
Bart Klijs 58 0.5× 258 2.3× 80 0.8× 194 1.9× 114 1.2× 24 753

Countries citing papers authored by Helen C.S. Meier

Since Specialization
Citations

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

Fields of papers citing papers by Helen C.S. Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen C.S. Meier

This figure shows the co-authorship network connecting the top 25 collaborators of Helen C.S. Meier. A scholar is included among the top collaborators of Helen C.S. Meier 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 Helen C.S. Meier. Helen C.S. Meier 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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