Daniel T. Hass

52 total papers · 554 total citations
20 papers, 347 citations indexed

About

Daniel T. Hass is a scholar working on Molecular Biology, Ophthalmology and Neurology. According to data from OpenAlex, Daniel T. Hass has authored 20 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Ophthalmology and 4 papers in Neurology. Recurrent topics in Daniel T. Hass's work include Retinal Development and Disorders (12 papers), Retinal Diseases and Treatments (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Daniel T. Hass is often cited by papers focused on Retinal Development and Disorders (12 papers), Retinal Diseases and Treatments (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Daniel T. Hass collaborates with scholars based in United States and Türkiye. Daniel T. Hass's co-authors include Colin J. Barnstable, James B. Hurley, Ian R. Sweet, Martin Sadı́lek, Austin M. Rountree, Victor Stalon, Annick Mercenier, J.P. Simon, Robert L. Evans and Eric D. Thomas and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Daniel T. Hass

19 papers receiving 341 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel T. Hass 225 85 76 42 32 20 347
Jeremy Whitson 280 1.2× 73 0.9× 60 0.8× 23 0.5× 12 0.4× 20 377
Wenbo Zhang 109 0.5× 82 1.0× 40 0.5× 29 0.7× 18 0.6× 19 376
Tao Chen 152 0.7× 63 0.7× 63 0.8× 24 0.6× 13 0.4× 21 311
Mai Tsukikawa 201 0.9× 23 0.3× 70 0.9× 17 0.4× 30 0.9× 19 324
Chaoming Wu 188 0.8× 37 0.4× 52 0.7× 14 0.3× 16 0.5× 21 328
Harshini Chakravarthy 188 0.8× 36 0.4× 120 1.6× 46 1.1× 34 1.1× 17 368
Sandra Davidheiser 153 0.7× 108 1.3× 20 0.3× 18 0.4× 19 0.6× 12 387
Rong Hua 251 1.1× 55 0.6× 16 0.2× 22 0.5× 15 0.5× 16 366
Felipe Gustavo Ravagnani 180 0.8× 86 1.0× 13 0.2× 17 0.4× 18 0.6× 16 349
Zhongming Zhang 205 0.9× 54 0.6× 15 0.2× 28 0.7× 23 0.7× 20 372

Countries citing papers authored by Daniel T. Hass

Since Specialization
Citations

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

Fields of papers citing papers by Daniel T. Hass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel T. Hass

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