Stephen B. Hladky
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Oncology top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Pediatrics, Perinatology and Child Health top 2%
- Co-authors
- D.A. HaydonMargery A. BarrandB. W. UrbanT J RinkHendrik W. van VeenChung‐Pu WuAntonios KlokouzasSuresh V. Ambudkar
- Topics
- Lipid Membrane Structure and Behavior (22 papers)Drug Transport and Resistance Mechanisms (20 papers)Electrochemical Analysis and Applications (17 papers)
- Partner nations
- United KingdomSouth SudanUnited States
In The Last Decade
Stephen B. Hladky
75 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 2.5k
- Cellular and Molecular Neuroscience 1.3k
- Oncology 758
- Atomic and Molecular Physics, and Optics 498
- Pediatrics, Perinatology and Child Health 495
Countries citing papers authored by Stephen B. Hladky
This map shows the geographic impact of Stephen B. Hladky'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 Stephen B. Hladky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen B. Hladky more than expected).
Fields of papers citing papers by Stephen B. Hladky
This network shows the impact of papers produced by Stephen B. Hladky. 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 Stephen B. Hladky. The network helps show where Stephen B. Hladky may publish in the future.
Co-authorship network of co-authors of Stephen B. Hladky
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen B. Hladky. A scholar is included among the top collaborators of Stephen B. Hladky 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 Stephen B. Hladky. Stephen B. Hladky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 5 | |
| 3 | The glymphatic hypothesis: the theory and the evidencebreakdown → | 141 |
| 4 | 22 | |
| 5 | 32 | |
| 6 | 140 | |
| 7 | 11 | |
| 8 | 58 | |
| 9 | 132 | |
| 10 | 192 | |
| 11 | 54 | |
| 12 | 40 | |
| 13 | 34 | |
| 14 | 22 | |
| 15 | Studies of multidrug transport proteins in cells derived from human lung samples. | 6 |
| 16 | 15 | |
| 17 | 7 | |
| 18 | 18 | |
| 19 | 3 | |
| 20 | 11 |
About Stephen B. Hladky
Stephen B. Hladky is a scholar working on Electrochemistry, Bioengineering and Cellular and Molecular Neuroscience, having authored 76 papers that have together received 4.8k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (22 papers), Drug Transport and Resistance Mechanisms (20 papers) and Electrochemical Analysis and Applications (17 papers). The work is most often cited by research in Electrochemistry (470 citations), Cellular and Molecular Neuroscience (1.3k citations) and Bioengineering (296 citations). Stephen B. Hladky has collaborated with scholars based in United Kingdom, South Sudan and United States. Frequent co-authors include D.A. Haydon, Margery A. Barrand, B. W. Urban, T J Rink, Hendrik W. van Veen, Chung‐Pu Wu, Antonios Klokouzas, Suresh V. Ambudkar, Tavan Janvilisri and Katarzyna Kania. Their work appears in journals such as Nature, The Journal of Physiology and Biochemical Journal.
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.