Daniel Homer

689 total citations
8 papers, 529 citations indexed

About

Daniel Homer is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Daniel Homer has authored 8 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Epidemiology. Recurrent topics in Daniel Homer's work include Cerebrovascular and Carotid Artery Diseases (4 papers), Cardiovascular Health and Disease Prevention (3 papers) and Acute Ischemic Stroke Management (2 papers). Daniel Homer is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (4 papers), Cardiovascular Health and Disease Prevention (3 papers) and Acute Ischemic Stroke Management (2 papers). Daniel Homer collaborates with scholars based in United States and Belarus. Daniel Homer's co-authors include Jack P. Whisnant, Timothy J. Ingall, Laura L. Truskowski, Walter J. Koroshetz, E. Clarke Haley, Jeffrey L. Saver, Karen C. Johnston, Robert J. Wityk, W. Michael O’Fallon and H L Baker and has published in prestigious journals such as Gastroenterology, Stroke and Annals of Neurology.

In The Last Decade

Daniel Homer

8 papers receiving 515 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Homer United States	7	235	217	139	98	92	8	529
Yasushi Kita Japan	13	187 0.8×	174 0.8×	249 1.8×	31 0.3×	145 1.6×	36	577
Barry Moynihan United Kingdom	14	190 0.8×	178 0.8×	53 0.4×	61 0.6×	128 1.4×	18	478
Maria Chiara Ricciardi Italy	12	208 0.9×	337 1.6×	251 1.8×	112 1.1×	142 1.5×	23	583
Kurian Thomas United States	8	212 0.9×	90 0.4×	299 2.2×	181 1.8×	124 1.3×	13	786
Cristina Tiu Romania	14	225 1.0×	123 0.6×	119 0.9×	33 0.3×	168 1.8×	53	651
Ohyun Kwon South Korea	12	199 0.8×	163 0.8×	71 0.5×	37 0.4×	207 2.3×	43	490
H. Bewermeyer Germany	15	186 0.8×	111 0.5×	61 0.4×	38 0.4×	243 2.6×	56	644
Laurie E. Knepper United States	14	283 1.2×	287 1.3×	424 3.1×	54 0.6×	124 1.3×	20	831
Muhib Khan United States	15	417 1.8×	286 1.3×	181 1.3×	46 0.5×	240 2.6×	59	698
Leïla Sissani France	8	401 1.7×	272 1.3×	253 1.8×	55 0.6×	101 1.1×	11	552

Countries citing papers authored by Daniel Homer

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Homer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Homer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Homer. A scholar is included among the top collaborators of Daniel Homer 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 Daniel Homer. Daniel Homer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Shankar, Vijay, Daniel Homer, Harry J. Khamis, et al.. (2015). The networks of human gut microbe–metabolite associations are different between health and irritable bowel syndrome. The ISME Journal. 9(8). 1899–1903. 61 indexed citations

2.

Michail, Sonia, et al.. (2011). Gut Microbial Profile in Pediatric Non Alcoholic Fatty Liver Disease. Gastroenterology. 140(5). S–118. 2 indexed citations

3.

Meyer, J R, A. Gutiérrez, B. Mock, et al.. (2001). High-b-value diffusion-weighted MR imaging of suspected brain infarction.. PubMed. 21(10). 1821–9. 63 indexed citations

4.

Saver, Jeffrey L., Karen C. Johnston, Daniel Homer, et al.. (1999). Infarct Volume as a Surrogate or Auxiliary Outcome Measure in Ischemic Stroke Clinical Trials. Stroke. 30(2). 293–298. 190 indexed citations

5.

Homer, Daniel, Timothy J. Ingall, Hillier L. Baker, et al.. (1991). Serum Lipids and Lipoproteins Are Less Powerful Predictors of Extracranial Carotid Artery Atherosclerosis Than Are Cigarette Smoking and Hypertension. Mayo Clinic Proceedings. 66(3). 259–267. 43 indexed citations

6.

Whisnant, Jack P., et al.. (1990). Duration of cigarette smoking is the strongest predictor of severe extracranial carotid artery atherosclerosis.. Stroke. 21(5). 707–714. 121 indexed citations

7.

Ingall, Timothy J., Daniel Homer, Jack P. Whisnant, H L Baker, & W. Michael O’Fallon. (1989). Predictive Value of Carotid Bruit for Carotid Atherosclerosis. Archives of Neurology. 46(4). 418–422. 26 indexed citations

8.

Homer, Daniel, Jack P. Whisnant, & Bruce S. Schoenberg. (1987). Trends in the incidence rates of stroke in Rochester, Minnesota, since 1935. Annals of Neurology. 22(2). 245–251. 23 indexed citations

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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