Daniel L. Hall

110 papers receiving 1.9k citations

Peers

Daniel L. Hall
Comparison fields: 5 of 125
  • Oncology 418
  • Clinical Psychology 303
  • Applied Psychology 67
  • Behavioral Neuroscience 45
  • Psychiatry and Mental health 168
Replace R. L. Palmer with:
R. L. Palmer United States
Lan Xiao United States
Klaas van der Meer Netherlands
Qing Tian China
Peter A. Levine United States
Molly L. Tanenbaum United States
Neil H. Pliskin United States
Richard J. Goldberg United States
Jenny Rosendahl Germany
Richard R. Ries United States
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Countries citing papers authored by Daniel L. Hall

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Hall. 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 Daniel L. Hall. The network helps show where Daniel L. Hall may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel L. Hall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel L. Hall Line = papers co-authored together Daniel L. Hall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018131
2 2020118
3 2010113
4 2017111
5 201493
6 202284
7 201975
8 201667
9 202064
10 201658
11 202153
12 202148
13 201644
14 201539
15 201538
16 202138
17 201733
18 202031
19 201430
20 202130

About Daniel L. Hall

Daniel L. Hall is a scholar working on Aerospace Engineering, Clinical Psychology, Experimental and Cognitive Psychology, Psychiatry and Mental health and Oncology, having authored 118 papers that have together received 2.0k indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (29 papers), Cancer survivorship and care (15 papers), Superconducting Materials and Applications (15 papers), Particle Accelerators and Free-Electron Lasers (12 papers), Metal and Thin Film Mechanics (8 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (8 papers), Gyrotron and Vacuum Electronics Research (8 papers) and COVID-19 and Mental Health (6 papers). The work is most often cited by research in Oncology (418 citations), Clinical Psychology (303 citations), Applied Psychology (67 citations), Behavioral Neuroscience (45 citations) and Psychiatry and Mental health (168 citations). Daniel L. Hall has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Elyse Richelle Park, Sam Posen, Gloria Y. Yeh, Christina M. Luberto, Youngmee Kim, Rachel L. Spillers, Merle H. Mishel, Barbara B. Germino, Matthias Liepe and Emily G. Lattie. Their work appears in journals such as Supportive Care in Cancer, Psycho-Oncology, Global Advances in Health and Medicine, Journal of Health Psychology and Journal of Psychosomatic Research.

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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