Debra Hain

86 total papers · 998 total citations
50 papers, 609 citations indexed

About

Debra Hain is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Nephrology. According to data from OpenAlex, Debra Hain has authored 50 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in General Health Professions, 13 papers in Public Health, Environmental and Occupational Health and 8 papers in Nephrology. Recurrent topics in Debra Hain's work include Palliative Care and End-of-Life Issues (12 papers), Geriatric Care and Nursing Homes (9 papers) and Dialysis and Renal Disease Management (6 papers). Debra Hain is often cited by papers focused on Palliative Care and End-of-Life Issues (12 papers), Geriatric Care and Nursing Homes (9 papers) and Dialysis and Renal Disease Management (6 papers). Debra Hain collaborates with scholars based in United States, Sweden and Mexico. Debra Hain's co-authors include Ruth M. Tappen, Joy Longo, Simon D. Roger, Sanya Diaz, Edgar V. Lerma, Deborah J. Clegg, Anjay Rastogi, Biff F. Palmer, Gates B. Colbert and Steven Fishbane and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mayo Clinic Proceedings and Advances in Chronic Kidney Disease.

In The Last Decade

Debra Hain

47 papers receiving 565 citations

Author Peers

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

Author Last Decade Papers Cites
Debra Hain 204 121 94 92 85 50 609
Karine Manera 138 0.7× 133 1.1× 53 0.6× 230 2.5× 61 0.7× 50 652
Vida Shafipour 211 1.0× 131 1.1× 29 0.3× 66 0.7× 45 0.5× 60 590
Maria Lavdaniti 153 0.8× 164 1.4× 47 0.5× 40 0.4× 36 0.4× 64 669
Kwua‐Yun Wang 106 0.5× 136 1.1× 145 1.5× 43 0.5× 37 0.4× 45 678
Angela Ju 125 0.6× 129 1.1× 58 0.6× 178 1.9× 99 1.2× 32 693
Marques Shek Nam Ng 106 0.5× 131 1.1× 91 1.0× 74 0.8× 46 0.5× 49 563
Jennifer G. Lyons 87 0.4× 79 0.7× 37 0.4× 50 0.5× 55 0.6× 37 590
Christina Karamanidou 137 0.7× 88 0.7× 34 0.4× 210 2.3× 73 0.9× 31 635
Bartosz Uchmanowicz 133 0.7× 54 0.4× 90 1.0× 29 0.3× 77 0.9× 39 694
Katherine Garlo 83 0.4× 104 0.9× 33 0.4× 79 0.9× 52 0.6× 27 528

Countries citing papers authored by Debra Hain

Since Specialization
Citations

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

Fields of papers citing papers by Debra Hain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debra Hain

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