Daniel J. Knauer

2.2k citations
52 papers · 2.0k · h-index 24

Impact in

Papers in

    • Signaling Pathways in Disease 5
    • Biochemical and Structural Characterization 4
    • Peptidase Inhibition and Analysis 6
    • Cancer Treatment and Pharmacology 5

Daniel J. Knauer

52 papers receiving 1.9k citations

Peers

Daniel J. Knauer
Comparison fields: 5 of 102
  • Developmental Neuroscience 138
  • Cancer Research 481
  • Hematology 353
  • Immunology and Allergy 116
  • Cellular and Molecular Neuroscience 311
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Knauer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Knauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel J. Knauer, 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 J. Knauer Line = papers co-authored together Daniel J. Knauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001245
2 1980202
3 1988165
4 1984132
5 1988101
6 201183
7 198780
8 198359
9 198759
10 200052
11 199750
12 198244
13 201744
14 198143
15 198441
16 200337
17 199633
18 200031
19 198329
20 199729

About Daniel J. Knauer

Daniel J. Knauer is a scholar working on Molecular Biology, Oncology, Hematology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (17 papers), Protease and Inhibitor Mechanisms (14 papers), Peptidase Inhibition and Analysis (6 papers), Signaling Pathways in Disease (5 papers), Cancer Treatment and Pharmacology (5 papers), Biochemical and Structural Characterization (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Developmental Neuroscience (138 citations), Cancer Research (481 citations), Hematology (353 citations), Immunology and Allergy (116 citations) and Cellular and Molecular Neuroscience (311 citations). Daniel J. Knauer has collaborated with scholars based in United States and Canada. Frequent co-authors include Dennis D. Cunningham, G. Smith, Manuel Nieto‐Sampedro, Fernando Gómez‐Pinilla, Mary F. Knauer, Clayton Bullock, Frederick J. Ehlert, M. Li, Qiyin Zhou and Jeffrey W. Smith. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cellular Physiology, Journal of Clinical Oncology, Brain Research and Molecular Pharmacology.

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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