Daniel L. Haus

406 total citations
8 papers, 266 citations indexed

About

Daniel L. Haus is a scholar working on Molecular Biology, Neurology and Developmental Neuroscience. According to data from OpenAlex, Daniel L. Haus has authored 8 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Neurology and 4 papers in Developmental Neuroscience. Recurrent topics in Daniel L. Haus's work include Pluripotent Stem Cells Research (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Traumatic Brain Injury Research (3 papers). Daniel L. Haus is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Traumatic Brain Injury Research (3 papers). Daniel L. Haus collaborates with scholars based in United States, Bulgaria and Germany. Daniel L. Haus's co-authors include B. Cummings, H. Daniel Perez, Aileen J. Anderson, Eric Gold, Mitra J. Hooshmand, Hal X. Nguyen, Noriko Kamei, H. D. M. Moore, Katja Piltti and Vanessa M. Scarfone and has published in prestigious journals such as The Journal of Comparative Neurology, Scientific Reports and Experimental Neurology.

In The Last Decade

Daniel L. Haus

8 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel L. Haus United States	7	121	98	86	82	58	8	266
Asha Bakshi United States	5	124 1.0×	114 1.2×	92 1.1×	128 1.6×	58 1.0×	6	344
Julia Billigen United States	5	74 0.6×	77 0.8×	65 0.8×	97 1.2×	158 2.7×	7	348
Mou Gao China	9	80 0.7×	84 0.9×	43 0.5×	98 1.2×	52 0.9×	23	318
Gakushi Yoshikawa Japan	10	161 1.3×	61 0.6×	50 0.6×	50 0.6×	37 0.6×	38	305
Bethwel Raore United States	8	144 1.2×	47 0.5×	54 0.6×	114 1.4×	208 3.6×	11	363
Chase Kingsbury United States	11	49 0.4×	55 0.6×	45 0.5×	152 1.9×	98 1.7×	19	318
Masayuki Miyazono Japan	10	179 1.5×	123 1.3×	44 0.5×	166 2.0×	54 0.9×	20	447
Rami Ahmad Shahror United States	9	56 0.5×	40 0.4×	32 0.4×	95 1.2×	73 1.3×	16	280
Sumbul Fatima United States	4	103 0.9×	53 0.5×	56 0.7×	257 3.1×	27 0.5×	5	418
Noritaka Masahira Japan	8	31 0.3×	149 1.5×	49 0.6×	116 1.4×	35 0.6×	18	328

Countries citing papers authored by Daniel L. Haus

Since Specialization

Citations

This map shows the geographic impact of Daniel L. Haus'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. Haus 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. Haus more than expected).

Fields of papers citing papers by Daniel L. Haus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel L. Haus

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

All Works

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8 of 8 papers shown

1.

Kamei, Noriko, Kenneth Day, Wei Guo, et al.. (2024). Injured inflammatory environment overrides the TET2 shaped epigenetic landscape of pluripotent stem cell derived human neural stem cells. Scientific Reports. 14(1). 25186–25186. 1 indexed citations

2.

Haus, Daniel L., et al.. (2017). Effects of Human ES-Derived Neural Stem Cell Transplantation and Kindling in a Rat Model of Traumatic Brain Injury. Cell Transplantation. 26(7). 1247–1261. 22 indexed citations

3.

Haus, Daniel L., et al.. (2016). Transplantation of human neural stem cells restores cognition in an immunodeficient rodent model of traumatic brain injury. Experimental Neurology. 281. 1–16. 70 indexed citations

4.

Haus, Daniel L., Hal X. Nguyen, Eric Gold, et al.. (2014). CD133-enriched Xeno-Free human embryonic-derived neural stem cells expand rapidly in culture and do not form teratomas in immunodeficient mice. Stem Cell Research. 13(2). 214–226. 12 indexed citations

5.

Nguyen, Hal X., et al.. (2014). Induction of early neural precursors and derivation of tripotent neural stem cells from human pluripotent stem cells under xeno‐free conditions. The Journal of Comparative Neurology. 522(12). 2767–2783. 13 indexed citations

6.

Gold, Eric, et al.. (2013). Functional Assessment of Long-Term Deficits in Rodent models of Traumatic Brain Injury. Regenerative Medicine. 8(4). 483–516. 70 indexed citations

7.

Piltti, Katja, et al.. (2011). Computer-Aided 2D and 3D quantification of human stem cell fate from in vitro samples using Volocity high performance image analysis software. Stem Cell Research. 7(3). 256–263. 6 indexed citations

8.

Anderson, Aileen J., et al.. (2011). Achieving Stable Human Stem Cell Engraftment and Survival in the CNS: Is the Future of Regenerative Medicine Immunodeficient?. Regenerative Medicine. 6(3). 367–406. 72 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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