David S. Fischer

9.0k total citations · 4 hit papers
90 papers, 4.4k citations indexed

About

David S. Fischer is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Building and Construction. According to data from OpenAlex, David S. Fischer has authored 90 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 29 papers in Electrical and Electronic Engineering and 15 papers in Building and Construction. Recurrent topics in David S. Fischer's work include Smart Grid Energy Management (22 papers), Single-cell and spatial transcriptomics (17 papers) and Building Energy and Comfort Optimization (15 papers). David S. Fischer is often cited by papers focused on Smart Grid Energy Management (22 papers), Single-cell and spatial transcriptomics (17 papers) and Building Energy and Comfort Optimization (15 papers). David S. Fischer collaborates with scholars based in Germany, United States and Sweden. David S. Fischer's co-authors include Fabian J. Theis, Hatef Madani, David C. Price, Bernhard Wille‐Haussmann, Karen Byskov Lindberg, Giovanni Palla, Anna C. Schaar, Sabrina Richter, Christof Wittwer and Andreas Härtl and has published in prestigious journals such as Nature, JAMA and Nucleic Acids Research.

In The Last Decade

David S. Fischer

89 papers receiving 4.2k citations

Hit Papers

Squidpy: a scalable framework for... 2016 2026 2019 2022 2022 2016 2022 2022 100 200 300 400

Peers

David S. Fischer
Comparison fields: 5 of 171
  • Molecular Biology 1.8k
  • Electrical and Electronic Engineering 1.3k
  • Building and Construction 769
  • Renewable Energy, Sustainability and the Environment 534
  • Immunology 371
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Citations per field, relative to David S. Fischer
David S. Fischer · 1×
Citations per year, relative to David S. Fischer
David S. Fischer · 1×

Countries citing papers authored by David S. Fischer

Since Specialization
Citations

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

Fields of papers citing papers by David S. Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Fischer. A scholar is included among the top collaborators of David S. Fischer 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 S. Fischer. David S. Fischer 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 17
2 3
3 14
4 8
5 3
6 24
7
Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation breakdown →
294
8
Squidpy: a scalable framework for spatial omics analysis breakdown →
417
9 97
10 9
11 43
12 33
13 73
14 17
15 4
16 64
17 53
18 72
19 4
20 26

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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