Alexandria Hoffman

11 total papers · 957 total citations
9 papers, 682 citations indexed

About

Alexandria Hoffman is a scholar working on Epidemiology, Immunology and Physiology. According to data from OpenAlex, Alexandria Hoffman has authored 9 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Immunology and 3 papers in Physiology. Recurrent topics in Alexandria Hoffman's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Alexandria Hoffman is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Alexandria Hoffman collaborates with scholars based in United States, United Kingdom and Italy. Alexandria Hoffman's co-authors include Kelly Q. Schoenfelt, Lev Becker, Chang Cui, Catherine A. Reardon, Guolin Zhou, Noriko Itoh, Roy Kim, Rhonda R. Voskuhl, Xu Tang and Kasturi Chakraborty and has published in prestigious journals such as Cell, ACS Nano and Nature Nanotechnology.

In The Last Decade

Alexandria Hoffman

7 papers receiving 679 citations

Hit Papers

Neutrophil elastase selec... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Alexandria Hoffman 367 181 165 131 109 9 682
Claudia Z. Han 486 1.3× 248 1.4× 80 0.5× 152 1.2× 71 0.7× 16 759
Claudio Storini 260 0.7× 192 1.1× 66 0.4× 117 0.9× 56 0.5× 14 780
Ligaya Pen 197 0.5× 342 1.9× 200 1.2× 79 0.6× 103 0.9× 8 741
Ulrike May 187 0.5× 173 1.0× 69 0.4× 67 0.5× 169 1.6× 17 665
Shivaprasad Bhuvanendran 135 0.4× 237 1.3× 147 0.9× 174 1.3× 88 0.8× 12 686
Hong Kong 232 0.6× 194 1.1× 70 0.4× 83 0.6× 227 2.1× 15 609
Lijing Kang 322 0.9× 324 1.8× 109 0.7× 55 0.4× 29 0.3× 14 717
Lona J. Kroese 260 0.7× 363 2.0× 55 0.3× 110 0.8× 43 0.4× 14 734
Yuanbo Zhu 342 0.9× 296 1.6× 89 0.5× 39 0.3× 38 0.3× 11 657
Tomi Lazarov 347 0.9× 359 2.0× 38 0.2× 87 0.7× 154 1.4× 6 767

Countries citing papers authored by Alexandria Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Alexandria Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandria Hoffman

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