J Igari

78 papers receiving 949 citations

Peers

J Igari
Comparison fields: 5 of 89
  • Clinical Biochemistry 65
  • Hematology 94
  • Microbiology 53
  • Physiology 194
  • Molecular Medicine 38
Replace Michael Haidinger with:
Michael Haidinger Austria
Károly Mészáros United States
Marcel Schouten Netherlands
J.W.M. van der Meer Netherlands
Chi-Ren Huang Taiwan
Peter Meyer Germany
Arie J. Hoogendijk Netherlands
Stefan Rußwurm Germany
Sina M. Coldewey Germany
Ningwen Tai United States
J Igari relative to Michael Haidinger Austria Michael Haidinger's profile →
Citations per field
00.5×3.2×
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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998348
2 200586
3 200384
4
Local anesthetic lidocaine inhibits the effect of granulocyte colony-stimulating factor on human neutrophil functions.
199443
5 199542
6 199837
7 200633
8 199726
9 200124
10 200821
11 199821
12
[Current topics in infectious diseases].
199418
13 199815
14 199515
15 200414
16 200112
17
Spontaneous migration of acute promyelocytic leukemia cells beneath cultured bone marrow adipocytes with matched expression of the major histocompatibility complex.
20048
18
Increased expression of the high-affinity receptor for IgG (FcRI, CD64) on neutrophils in multiple myeloma.
19968
19 20007
20 20017

About J Igari

J Igari is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Pharmacology and Pulmonary and Respiratory Medicine, having authored 84 papers that have together received 1.0k 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 (65 citations), Hematology (94 citations), Microbiology (53 citations), Physiology (194 citations) and Molecular Medicine (38 citations). J Igari has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Akira Yamada, Fumi Takemoto, Keitaro Yokoyama, Katsu Saionji, Akimichi Ohsaka, Yoko Tabe, Toyoko Oguri, Michael Andreeff, Marina Konopleva and Isao Nagaoka. Their work appears in journals such as British Journal of Haematology, Blood, Kansenshogaku zasshi, Microbial Drug Resistance 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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