Daniel P. Dylewski

617 citations
33 papers · 409 · h-index 11

Impact in

Papers in

Daniel P. Dylewski

32 papers receiving 379 citations

Peers

Daniel P. Dylewski
Comparison fields: 5 of 75
  • Animal Science and Zoology 111
  • Food Science 156
  • Nutrition and Dietetics 113
  • Biochemistry 28
  • Endocrinology 15
Replace R. W. Mellenberger with:
R. W. Mellenberger United States
J.C. Shaw United States
G.L. Lindberg United States
Chang Weon Choi South Korea
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Xianwen Dong China
Qiang Bao China
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Daniel P. Dylewski relative to R. W. Mellenberger United States R. W. Mellenberger's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel P. Dylewski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Dylewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Daniel P. Dylewski, 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 P. Dylewski Line = papers co-authored together Daniel P. Dylewski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Development of low-fat ground beef
1991123
2 198348
3 198524
4
Milk lipid globule precursor release from endoplasmic reticulum reconstituted in a cell-free system.
199222
5
Compound exocytosis of casein micelles in mammary epithelial cells.
198319
6 198418
7 197817
8 198516
9 198413
10 198311
11 198611
12 199110
13 19868
14 19917
15 19817
16 19836
17
Technology for low-fat ground beef
19926
18 19835
19 19785
20 19845

About Daniel P. Dylewski

Daniel P. Dylewski is a scholar working on Plant Science, Molecular Biology, Nutrition and Dietetics, Cell Biology and Surgery, having authored 33 papers that have together received 409 indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (10 papers), Infant Nutrition and Health (8 papers), Plant Pathogens and Resistance (6 papers), Pancreatic function and diabetes (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Plant and Fungal Interactions Research (3 papers), Nuclear Structure and Function (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Animal Science and Zoology (111 citations), Food Science (156 citations), Nutrition and Dietetics (113 citations), Biochemistry (28 citations) and Endocrinology (15 citations). Daniel P. Dylewski has collaborated with scholars based in United States. Frequent co-authors include T.W. Keenan, W.R. Egbert, D. L. Huffman, Charles E. Miller, Tae-Wha Moon, Thomas W. Keenan, T. W. Keenan, James P. Braselton, Brigitte H. Keon and Robert M. Haralick. Their work appears in journals such as Mycologia, PROTOPLASMA, American Journal of Botany, Journal of Dairy Science and Biological Trace Element 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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