D Michaeli

65 papers receiving 844 citations

Peers

D Michaeli
Comparison fields: 5 of 100
  • Immunology and Allergy 48
  • Immunology 154
  • Epidemiology 214
  • Infectious Diseases 109
  • Parasitology 37
Replace T. A. McNeill with:
T. A. McNeill United Kingdom
Mary Boesman United States
Gunnar Bendixen Denmark
V. Tricottet France
Richard M. Condie United States
Rachel Morecki United States
M. Yamamura Japan
Kazunori Sugi Japan
David A. Bobak United States
G Mesander Netherlands
D Michaeli relative to T. A. McNeill United Kingdom T. A. McNeill's profile →
Citations per field
00.5×
T. A. McNeill · 1×
Citations per year

Countries citing papers authored by D Michaeli

Since Specialization
Citations

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

Fields of papers citing papers by D Michaeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200284
2 199881
3 198565
4 197763
5 196959
6 196146
7 196940
8 200439
9 197237
10 199927
11
Antibodies to human collagen in subjects with selective IgA deficiency.
197324
12 197020
13 197320
14 199919
15 197218
16 196917
17 197215
18 197514
19 197614
20 197714

About D Michaeli

D Michaeli is a scholar working on Epidemiology, Surgery, Molecular Biology, Pharmacology and Public Health, Environmental and Occupational Health, having authored 66 papers that have together received 957 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (7 papers), Helicobacter pylori-related gastroenterology studies (6 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Neuroendocrine Tumor Research Advances (6 papers), Cancer Research and Treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Computational Drug Discovery Methods (4 papers) and Enzyme function and inhibition (4 papers). The work is most often cited by research in Immunology and Allergy (48 citations), Immunology (154 citations), Epidemiology (214 citations), Infectious Diseases (109 citations) and Parasitology (37 citations). D Michaeli has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include E. Benjamini, Talma Rosenthal, S A Watson, Ian Katz, Rashmi Seth, Daniel F. McWilliams, A. E. Gunders, L Naggan, Mordechai Pras and J. R. Kettman. Their work appears in journals such as Journal of Clinical Oncology, Gut, The Journal of Infectious Diseases, Gastroenterology and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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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