Daniel J. Knauer

2.2k citations
51 papers · 1.8k indexed · h-index 22

Impact in

Papers in

Daniel J. Knauer

51 papers receiving 1.7k citations

Peers

Daniel J. Knauer
Comparison fields: 5 of 100
  • Developmental Neuroscience 125
  • Cancer Research 441
  • Hematology 321
  • Immunology and Allergy 108
  • Cellular and Molecular Neuroscience 292
Replace Lieve Umans with:
Lieve Umans Belgium
James R. Tonra United States
Kunio Kitamura Japan
Rod Cupples United States
Edward Monosov United States
Kumi Kawai Japan
Liyin Zhu United States
Gretchen Bain United States
Craig Crowley United States
Rosanna Dono France
Daniel J. Knauer relative to Lieve Umans Belgium Lieve Umans's profile →
Citations per field
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Lieve Umans · 1×
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-authorship network

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
#Work
1 201713
2 201743
3 201622
4 201177
5 20094
6 20049
7 20028
8 2001240
9 200029
10 199915
11 199914
12 199727
13 199713
14 199745
15 199632
16 199021
17 1988159
18 198754
19 198211
20 198138

About Daniel J. Knauer

Daniel J. Knauer is a scholar working on Hematology, Cancer Research, Oncology, Immunology and Allergy and Molecular Biology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (16 papers), Protease and Inhibitor Mechanisms (13 papers), Peptidase Inhibition and Analysis (6 papers), Cancer Treatment and Pharmacology (5 papers), Signaling Pathways in Disease (5 papers), Medical Imaging Techniques and Applications (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Developmental Neuroscience (125 citations), Cancer Research (441 citations), Hematology (321 citations), Immunology and Allergy (108 citations) and Cellular and Molecular Neuroscience (292 citations). Daniel J. Knauer has collaborated with scholars based in United States and Canada. Frequent co-authors include G. Smith, Dennis D. Cunningham, 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, Scientific Reports and Brain Research.

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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