Michael T. Koltz

32 total papers · 863 total citations
22 papers, 659 citations indexed

About

Michael T. Koltz is a scholar working on Neurology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael T. Koltz has authored 22 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 7 papers in Epidemiology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael T. Koltz's work include Intracranial Aneurysms: Treatment and Complications (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Vascular Malformations Diagnosis and Treatment (4 papers). Michael T. Koltz is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Vascular Malformations Diagnosis and Treatment (4 papers). Michael T. Koltz collaborates with scholars based in United States and Israel. Michael T. Koltz's co-authors include Andrew A. Kanner, Nicola Marchi, Vincent Fazio, Glen Stevens, Marc R. Mayberg, T. Masaryk, Vitaly Siomin, Damir Janigro, Bizhan Aarabi and David M. Ibrahimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Spine.

In The Last Decade

Michael T. Koltz

22 papers receiving 649 citations

Author Peers

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

Author						Papers	Cites
Michael T. Koltz	306	150	143	112	105	22	659
J. Timothy O’Neill	216 0.7×	142 0.9×	167 1.2×	82 0.7×	86 0.8×	23	784
Serge Blecic	175 0.6×	177 1.2×	62 0.4×	154 1.4×	80 0.8×	37	729
Wilson P. Daugherty	429 1.4×	186 1.2×	125 0.9×	109 1.0×	39 0.4×	20	768
Nilda Turgut	159 0.5×	94 0.6×	85 0.6×	65 0.6×	76 0.7×	34	649
J. D. Born	257 0.8×	156 1.0×	97 0.7×	54 0.5×	48 0.5×	35	776
Gang Liu	277 0.9×	191 1.3×	88 0.6×	115 1.0×	173 1.6×	42	755
Bianca Müller	101 0.3×	107 0.7×	95 0.7×	90 0.8×	68 0.6×	23	737
Masaichi Nakamura	94 0.3×	96 0.6×	153 1.1×	83 0.7×	80 0.8×	34	776
A. Staal	236 0.8×	185 1.2×	189 1.3×	119 1.1×	78 0.7×	27	706
Georgios Stranjalis	260 0.8×	185 1.2×	106 0.7×	112 1.0×	63 0.6×	19	629

Countries citing papers authored by Michael T. Koltz

Since Specialization

Citations

This map shows the geographic impact of Michael T. Koltz'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 Michael T. Koltz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Koltz more than expected).

Fields of papers citing papers by Michael T. Koltz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Koltz. 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 Michael T. Koltz. The network helps show where Michael T. Koltz may publish in the future.

Co-authorship network of co-authors of Michael T. Koltz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Koltz. A scholar is included among the top collaborators of Michael T. Koltz 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 Michael T. Koltz. Michael T. Koltz 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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