Daniel H. Sahlein

90 total papers · 2.1k total citations
36 papers, 580 citations indexed

About

Daniel H. Sahlein is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Daniel H. Sahlein has authored 36 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Neurology, 17 papers in Pulmonary and Respiratory Medicine and 12 papers in Epidemiology. Recurrent topics in Daniel H. Sahlein's work include Intracranial Aneurysms: Treatment and Complications (23 papers), Cerebrovascular and Carotid Artery Diseases (17 papers) and Traumatic Brain Injury and Neurovascular Disturbances (10 papers). Daniel H. Sahlein is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (23 papers), Cerebrovascular and Carotid Artery Diseases (17 papers) and Traumatic Brain Injury and Neurovascular Disturbances (10 papers). Daniel H. Sahlein collaborates with scholars based in United States, Norway and Spain. Daniel H. Sahlein's co-authors include Peter K. Nelson, Tibor Becske, Maksim Shapiro, James S. Babb, E. Sander Connolly, Paloma Mora, Robert A. Solomon, Jafar J. Jafar, Paul P. Huang and Donald O. Quest and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.

In The Last Decade

Daniel H. Sahlein

31 papers receiving 563 citations

Author Peers

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

Author						Papers	Cites
Daniel H. Sahlein	446	260	89	81	75	36	580
W L Young	529 1.2×	218 0.8×	84 0.9×	63 0.8×	40 0.5×	35	660
Sylvia Bele	334 0.7×	158 0.6×	55 0.6×	31 0.4×	48 0.6×	51	665
David J. Boarini	463 1.0×	148 0.6×	120 1.3×	29 0.4×	61 0.8×	30	696
E. Rumpl	340 0.8×	81 0.3×	170 1.9×	61 0.8×	44 0.6×	46	611
Jihye Song	323 0.7×	189 0.7×	105 1.2×	59 0.7×	27 0.4×	36	596
Michael T. Koltz	306 0.7×	112 0.4×	150 1.7×	42 0.5×	57 0.8×	22	659
Toshiyuki Fujinaka	410 0.9×	167 0.6×	220 2.5×	30 0.4×	76 1.0×	32	659
Julian R. Youmans	343 0.8×	174 0.7×	103 1.2×	61 0.8×	26 0.3×	21	570
Michael J. Lang	338 0.8×	203 0.8×	162 1.8×	65 0.8×	25 0.3×	71	638
Hirofumi Oyama	281 0.6×	86 0.3×	96 1.1×	30 0.4×	66 0.9×	60	523

Countries citing papers authored by Daniel H. Sahlein

Since Specialization

Citations

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

Fields of papers citing papers by Daniel H. Sahlein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel H. Sahlein

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel H. Sahlein. A scholar is included among the top collaborators of Daniel H. Sahlein 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 H. Sahlein. Daniel H. Sahlein 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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