J E Niedel

5.8k citations
46 papers · 5.1k indexed · 2 hit papers · h-index 31

Impact in

    • Cell Adhesion Molecules Research
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • S100 Proteins and Annexins
    • Sphingolipid Metabolism and Signaling
    • Lipid Membrane Structure and Behavior

Papers in

J E Niedel

46 papers receiving 4.8k citations

Hit Papers

Quantitative measurement of sn-1,2-diacylglycerols present in platelets, hepatocytes, and ras- and sis-transformed normal rat kidney cells. 1986 · 917 citations
91719832026199720112505007501000

Peers

J E Niedel
Comparison fields: 5 of 109
  • Immunology and Allergy 335
  • Molecular Biology 3.5k
  • Biochemistry 370
  • Immunology 1.1k
  • Cell Biology 661
Replace John L. Knopf with:
John L. Knopf United States
Ruth M. Kramer United States
David T. Dudley United States
Ronald L. Magolda United States
Chris J. Vlahos United States
Lih‐Ling Lin United States
Jean‐Claude Chambard France
Yoshimi Homma Japan
Brian Varnum United States
Michael Karin United States
J E Niedel relative to John L. Knopf United States John L. Knopf's profile →
Citations per field
00.5×1.5×
John L. Knopf · 1×
Citations per year

Countries citing papers authored by J E Niedel

Since Specialization
Citations

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

Fields of papers citing papers by J E Niedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199061
2 199011
3 1989117
4 198949
5 198884
6 198814
7 198818
8 198731
9 1987154
10 1986123
11 1985206
12 198497
13 198484
14 198416
15 1983180
16 198334
17 1982119
18 198116
19 198060
20 198073

About J E Niedel

J E Niedel is a scholar working on Hematology, Immunology and Allergy, Cell Biology, Microbiology and Physiology, having authored 46 papers that have together received 5.1k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (9 papers), Chemical Synthesis and Analysis (6 papers), S100 Proteins and Annexins (5 papers), Glycosylation and Glycoproteins Research (4 papers), Ubiquitin and proteasome pathways (4 papers), Acute Myeloid Leukemia Research (4 papers), Antimicrobial Peptides and Activities (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Immunology and Allergy (335 citations), Molecular Biology (3.5k citations), Biochemistry (370 citations), Immunology (1.1k citations) and Cell Biology (661 citations). J E Niedel has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include G R Vandenbark, Robert M. Bell, Pedro Cuatrecasas, Carson R. Loomis, W. Robert Bishop, Robert B. Stein, R. W. Dougherty, Stephen J. Brandt, Shane M. Wilkinson and Lisa G. Rider. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Biochemical and Biophysical Research Communications.

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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