J Laufer

35 papers receiving 569 citations

Peers

J Laufer
Comparison fields: 5 of 88
  • Endocrinology 48
  • Food Science 145
  • Immunology 130
  • Biotechnology 54
  • Immunology and Allergy 26
Replace K Kett with:
K Kett Norway
Margot Shiner United Kingdom
Periannan Sethupathi United States
Constantin Reinus Israel
Masashi Kohanawa Japan
Ellen M Nilsen Norway
Jeffrey J. Bunker United States
Bernard C. Lo Canada
Jonathan Stefanowski Germany
Ulrich Böcker Germany
J Laufer relative to K Kett Norway K Kett's profile →
Citations per field
00.5×2.6×
K Kett · 1×
Citations per year

Countries citing papers authored by J Laufer

Since Specialization
Citations

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

Fields of papers citing papers by J Laufer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995168
2 199493
3
Cross-linking of monocyte plasma membrane Fc alpha, Fc gamma or mannose receptors induces TNF production.
199352
4 200047
5 198444
6 199622
7
C3, C4, factor B and HLA-DR alpha mRNA expression in renal biopsy specimens from patients with IgA nephropathy.
199521
8 200420
9 198216
10
[Malignant non-Hodgkin's lymphoma].
198315
11 199214
12 198112
13 198610
14 196310
15
[Metronidazole-spiramycin combination. In situ concentrations and synergism compared with the minimal inhibitory concentration of the buccal flora].
197410
16 19929
17
IgA and IgG immune complexes increase human macrophage C3 biosynthesis.
19959
18 19638
19 19637
20 19636

About J Laufer

J Laufer is a scholar working on Physiology, Immunology, Cell Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 41 papers that have together received 638 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Diet and metabolism studies (9 papers), Muscle metabolism and nutrition (7 papers), Complement system in diseases (5 papers), Renal Diseases and Glomerulopathies (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Biochemical effects in animals (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Endocrinology (48 citations), Food Science (145 citations), Immunology (130 citations), Biotechnology (54 citations) and Immunology and Allergy (26 citations). J Laufer has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Thomas J. Stabel, Lynda C. Kelley, Paula J. Fedorka–Cray, J H Passwell, N. Masurel, J. R. Beaton, Gürbüz Polat, Ina Fabian, Iris Goldberg and Rachel Oren. Their work appears in journals such as American Journal of Clinical Nutrition, European Journal of Pediatrics, Clinical & Experimental Immunology, Journal of Internal Medicine and Hormone and Metabolic 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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