J Igari

76 papers receiving 924 citations

Peers

J Igari
Comparison fields: 5 of 88
  • Clinical Biochemistry 62
  • Hematology 89
  • Microbiology 50
  • Physiology 187
  • Molecular Medicine 35
Replace Michael Haidinger with:
Michael Haidinger Austria
Károly Mészáros United States
Marcel Schouten Netherlands
Dieter Fröhlich Germany
J.W.M. van der Meer Netherlands
Peter Meyer Germany
Arie J. Hoogendijk Netherlands
Sina M. Coldewey Germany
Chi-Ren Huang Taiwan
Roy D. Goldfarb United States
J Igari relative to Michael Haidinger Austria Michael Haidinger's profile →
Citations per field
00.5×2.9×
Michael Haidinger · 1×
Citations per year

Countries citing papers authored by J Igari

Since Specialization
Citations

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

Fields of papers citing papers by J Igari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998339
2 200583
3 200382
4 199541
5
Local anesthetic lidocaine inhibits the effect of granulocyte colony-stimulating factor on human neutrophil functions.
199440
6 199836
7 200633
8 199726
9 200124
10 199821
11 200820
12 199815
13 200413
14 199513
15
[Current topics in infectious diseases].
199413
16 200111
17
Increased expression of the high-affinity receptor for IgG (FcRI, CD64) on neutrophils in multiple myeloma.
19968
18 20017
19
Spontaneous migration of acute promyelocytic leukemia cells beneath cultured bone marrow adipocytes with matched expression of the major histocompatibility complex.
20047
20
Elecsys TSH, FT4, T4, T-uptake, FT3 and T3. Clinical results of a multicentre study.
19987

About J Igari

J Igari is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine and Clinical Biochemistry, having authored 82 papers that have together received 964 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (11 papers), Bacterial biofilms and quorum sensing (9 papers), Bacterial Identification and Susceptibility Testing (9 papers), Antibiotic Resistance in Bacteria (8 papers), Pneumonia and Respiratory Infections (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Immune Response and Inflammation (6 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers). The work is most often cited by research in Clinical Biochemistry (62 citations), Hematology (89 citations), Microbiology (50 citations), Physiology (187 citations) and Molecular Medicine (35 citations). J Igari has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Akira Yamada, Keitaro Yokoyama, Fumi Takemoto, Katsu Saionji, Akimichi Ohsaka, Yoko Tabe, Toyoko Oguri, Isao Nagaoka, Marina Konopleva and Michael Andreeff. Their work appears in journals such as British Journal of Haematology, Blood, Kansenshogaku zasshi, Biochemical and Biophysical Research Communications and Diagnostic Microbiology and Infectious Disease.

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.

Explore authors with similar magnitude of impact