Daniel R. Hallinger

669 citations
17 papers · 548 indexed · h-index 12

Impact in

Papers in

Daniel R. Hallinger

17 papers receiving 544 citations

Peers

Daniel R. Hallinger
Comparison fields: 5 of 86
  • Health, Toxicology and Mutagenesis 175
  • Endocrinology, Diabetes and Metabolism 129
  • Chemical Health and Safety 4
  • Pollution 54
  • Small Animals 31
Replace Takaki Seki with:
Takaki Seki Japan
Erik Ullerås Sweden
Susan M. Ross United States
Hitoshi Funabashi Japan
Takeshi Kunimatsu Japan
Ki Kyung Jung South Korea
Michael E. Wyde United States
Sayed Aliul Hasan Abdi Saudi Arabia
H.B.W.M. Koëter Netherlands
Katrin Bender Ireland
Daniel R. Hallinger relative to Takaki Seki Japan Takaki Seki's profile →
Citations per field
00.5×8.7×
Takaki Seki · 1×
Citations per year

Countries citing papers authored by Daniel R. Hallinger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Hallinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel R. Hallinger, 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 R. Hallinger Line = papers co-authored together Daniel R. Hallinger links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20232
2 202110
3 202117
4 202014
5 201952
6 201859
7 201814
8 201739
9 201663
10 201517
11 2014131
12 201439
13 201410
14 201419
15 20137
16 201248
17 20127

About Daniel R. Hallinger

Daniel R. Hallinger is a scholar working on Health, Toxicology and Mutagenesis, Developmental Neuroscience, Pharmacology, Endocrinology, Diabetes and Metabolism and Pollution, having authored 17 papers that have together received 548 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (5 papers), Chemical Analysis and Environmental Impact (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Pancreatic function and diabetes (3 papers), Thyroid Disorders and Treatments (3 papers), Anesthesia and Neurotoxicity Research (2 papers) and Gastrointestinal disorders and treatments (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (175 citations), Endocrinology, Diabetes and Metabolism (129 citations), Chemical Health and Safety (4 citations), Pollution (54 citations) and Small Animals (31 citations). Daniel R. Hallinger has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Tammy E. Stoker, Angela R. Buckalew, Gwendolyn W. Louis, Susan Laws, Ashley S. Murr, Steven O. Simmons, Yumi Imai, Elena Galkina, Jerry L. Nadler and S. K. Chakrabarti. Their work appears in journals such as Microbial Pathogenesis, Journal of Bacteriology, Endocrinology, Diabetes and Journal of Toxicology and Environmental Health.

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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