Julia D. Rempel

42 total papers · 847 total citations
36 papers, 659 citations indexed

About

Julia D. Rempel is a scholar working on Immunology, Epidemiology and Hepatology. According to data from OpenAlex, Julia D. Rempel has authored 36 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 11 papers in Epidemiology and 11 papers in Hepatology. Recurrent topics in Julia D. Rempel's work include Immune Cell Function and Interaction (10 papers), Liver Disease Diagnosis and Treatment (9 papers) and Hepatitis C virus research (8 papers). Julia D. Rempel is often cited by papers focused on Immune Cell Function and Interaction (10 papers), Liver Disease Diagnosis and Treatment (9 papers) and Hepatitis C virus research (8 papers). Julia D. Rempel collaborates with scholars based in Canada, United States and Taiwan. Julia D. Rempel's co-authors include Kent T. HayGlass, Michael J. Buchmeier, Jeffrey Meisner, Gerald Y. Minuk, Ian Lewkowich, Peter Nickerson, Julia Uhanova, Martin P. Alphonse, Lely A. Quina and Donna L. Gruol and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Hepatology.

In The Last Decade

Julia D. Rempel

36 papers receiving 638 citations

Author Peers

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

Author Last Decade Papers Cites
Julia D. Rempel 200 194 140 119 90 36 659
Xiaojun Li 144 0.7× 228 1.2× 45 0.3× 84 0.7× 51 0.6× 41 726
Hyun Seok Kang 204 1.0× 308 1.6× 96 0.7× 101 0.8× 45 0.5× 30 767
Maria Elisabetta Rossi 277 1.4× 110 0.6× 170 1.2× 75 0.6× 21 0.2× 39 676
Jin Ding 250 1.3× 115 0.6× 237 1.7× 70 0.6× 27 0.3× 35 742
Ana Isabel Álvarez‐Ríos 90 0.5× 104 0.5× 51 0.4× 102 0.9× 21 0.2× 39 562
Jamie Berkes 239 1.2× 74 0.4× 208 1.5× 75 0.6× 54 0.6× 19 782
Beixing Liu 286 1.4× 407 2.1× 24 0.2× 98 0.8× 22 0.2× 38 769
Merve Savaş 224 1.1× 60 0.3× 98 0.7× 49 0.4× 29 0.3× 45 768
G Skibiński 93 0.5× 170 0.9× 54 0.4× 44 0.4× 15 0.2× 25 697
James H. Zavecz 70 0.3× 93 0.5× 63 0.5× 31 0.3× 21 0.2× 34 572

Countries citing papers authored by Julia D. Rempel

Since Specialization
Citations

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

Fields of papers citing papers by Julia D. Rempel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia D. Rempel. 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 Julia D. Rempel. The network helps show where Julia D. Rempel may publish in the future.

Co-authorship network of co-authors of Julia D. Rempel

This figure shows the co-authorship network connecting the top 25 collaborators of Julia D. Rempel. A scholar is included among the top collaborators of Julia D. Rempel 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 Julia D. Rempel. Julia D. Rempel 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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