S.J. Ackerman

1.2k citations
28 papers · 1.1k · h-index 16

Impact in

  • Physiology top 5%
    • Asthma and respiratory diseases
  • Immunology top 5%
    • Mast cells and histamine
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • IL-33, ST2, and ILC Pathways
    • Toxin Mechanisms and Immunotoxins

Papers in

S.J. Ackerman

28 papers receiving 1.1k citations

Peers

S.J. Ackerman
Comparison fields: 5 of 60
  • Physiology 502
  • Immunology 343
  • Rheumatology 207
  • Immunology and Allergy 31
  • Hematology 77
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Citations per field
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Citations per year

Countries citing papers authored by S.J. Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by S.J. Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983182
2 1993159
3 1989134
4 198386
5 198573
6 198357
7 198056
8 199453
9 199551
10
Ultrastructural localization of Charcot-Leyden crystal protein (lysophospholipase) and peroxidase in macrophages, eosinophils, and extracellular matrix of the skin in the hypereosinophilic syndrome.
199049
11 198135
12
Ultrastructural localization of the Charcot-Leyden crystal protein (lysophospholipase) to granules and intragranular crystals in mature human basophils.
198932
13 198625
14 198319
15 199518
16 199317
17 198215
18 199812
19 199410
20 19989

About S.J. Ackerman

S.J. Ackerman is a scholar working on Physiology, Rheumatology, Immunology, Molecular Biology and Immunology and Allergy, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (18 papers), Eosinophilic Disorders and Syndromes (9 papers), Mast cells and histamine (8 papers), Genomics and Chromatin Dynamics (4 papers), Retinoids in leukemia and cellular processes (2 papers), Antimicrobial Peptides and Activities (1 paper), Pregnancy and preeclampsia studies (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Physiology (502 citations), Immunology (343 citations), Rheumatology (207 citations), Immunology and Allergy (31 citations) and Hematology (77 citations). S.J. Ackerman has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Gerald J. Gleich, Daniel Geoffrey Tenen, Helene F. Rosenberg, David A. Loegering, Gerald J. Gleich, Ann M. Dvořàk, John B. Harley, A S Fauci, Per Venge and Inge Olsson. Their work appears in journals such as Journal of Allergy and Clinical Immunology, The Journal of Immunology, The Journal of Experimental Medicine, Blood and Journal of Histochemistry & Cytochemistry.

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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