David G. Lange

931 total citations
28 papers, 734 citations indexed

About

David G. Lange is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biophysics. According to data from OpenAlex, David G. Lange has authored 28 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 7 papers in Biophysics. Recurrent topics in David G. Lange's work include Electron Spin Resonance Studies (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Stress Responses and Cortisol (3 papers). David G. Lange is often cited by papers focused on Electron Spin Resonance Studies (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Stress Responses and Cortisol (3 papers). David G. Lange collaborates with scholars based in United States, Belgium and Japan. David G. Lange's co-authors include Anne M. Phelan, James M. Fujimoto, Sandra C. Roerig, Mark A. Klausner, Henry A. Kues, Jane Wu, Ana Cecilia Anzulovich, Rubén Baler, Michelle Brewer and Floyd Ratliff and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Brain Research.

In The Last Decade

David G. Lange

28 papers receiving 677 citations

Peers

David G. Lange
Comparison fields: 5 of 97
  • Physiology 197
  • Molecular Biology 188
  • Cellular and Molecular Neuroscience 181
  • Biophysics 126
  • Epidemiology 81
Replace Chiara D’Angelo with:
Chiara D’Angelo Italy
Horst A. Welker Switzerland
Hsien C. Cheng United States
Norma Selve Germany
Klára Gyires Hungary
Edwin García United Kingdom
Tsuyoshi Kihara Japan
O. I. Epstein Russia
Kenneth Yue United States
Giuseppina Mariucci Italy
Chiara D’Angelo Italy View profile →
Citations per field, relative to David G. Lange
David G. Lange · 1×
Citations per year, relative to David G. Lange
David G. Lange · 1×

Countries citing papers authored by David G. Lange

Since Specialization
Citations

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

Fields of papers citing papers by David G. Lange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Lange. 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 David G. Lange. The network helps show where David G. Lange may publish in the future.

Co-authorship network of co-authors of David G. Lange

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 75
2 32
3 97
4 3
5 28
6
Evidence for free radical mechanisms of brain injury resulting from ischemia/reperfusion-induced events.
32
7 16
8 38
9 11
10 70
11 12
12 15
13 19
14 25
15 7
16 7
17 38
18 5
19 24
20 9

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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