Daniel A. Weisz

411 citations
12 papers · 303 · h-index 10

Impact in

Papers in

Daniel A. Weisz

11 papers receiving 298 citations

Peers

Daniel A. Weisz
Comparison fields: 5 of 43
  • Renewable Energy, Sustainability and the Environment 75
  • Molecular Biology 257
  • Developmental Neuroscience 14
  • Cellular and Molecular Neuroscience 48
  • Spectroscopy 31
Replace Mark Heinnickel with:
Mark Heinnickel United States
Andrzej Szczepaniak Poland
Hisako Kubota-Kawai Japan
Andreia S. Fernandes Portugal
Jeremy D. King United States
Zihui Huang China
Risa Mutoh Japan
David A. Farmer United Kingdom
Yong Zou China
Machiko Akiyama Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel A. Weisz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Weisz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel A. Weisz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel A. Weisz Line = papers co-authored together Daniel A. Weisz links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201741
2 201440
3 201339
4 201936
5 201730
6 201930
7 201729
8 202123
9 197614
10 201612
11 20159
12 20240

About Daniel A. Weisz

Daniel A. Weisz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Renewable Energy, Sustainability and the Environment and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 303 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (10 papers), Mitochondrial Function and Pathology (7 papers), Photoreceptor and optogenetics research (4 papers), Algal biology and biofuel production (2 papers), Hemoglobin structure and function (2 papers), Protein purification and stability (1 paper), Aortic Disease and Treatment Approaches (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (75 citations), Molecular Biology (257 citations), Developmental Neuroscience (14 citations), Cellular and Molecular Neuroscience (48 citations) and Spectroscopy (31 citations). Daniel A. Weisz has collaborated with scholars based in United States. Frequent co-authors include Himadri B. Pakrasi, Michael L. Gross, Haijun Liu, Hao Zhang, Robert E. Blankenship, Ming Cheng, Mengru Zhang, Jiawei Chen, Ilan Vidavsky and Richard Y.‐C. Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Photosynthesis Research, Science Advances, Frontiers in Plant Science and Journal of Biological Chemistry.

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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