Gladys S. Ingle
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research 4
- Hepatology top 10%
- Endocrine and Autonomic Systems top 10%
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- Growth Hormone and Insulin-like Growth Factors 3
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- Angiogenesis and VEGF in Cancer 5
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- CAR-T cell therapy research 2
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- Physiological and biochemical adaptations 2
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- Immunotherapy and Immune Responses 2
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- Axon Guidance and Neuronal Signaling 2
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- Selenium in Biological Systems 1
- Co-authors
- Mary E. GerritsenConstance ZlotSuya YangXiaohua XinRalph SchwallLinda RangellJoe KowalskiNapoleone Ferrara
- Journals
- American Journal Of Pathology (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Endocrinology (2 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Gladys S. Ingle
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Immunology and Allergy 72
- Hepatology 90
- Cancer Research 154
- Endocrine and Autonomic Systems 69
- Endocrinology, Diabetes and Metabolism 142
Countries citing papers authored by Gladys S. Ingle
This map shows the geographic impact of Gladys S. Ingle'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 Gladys S. Ingle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gladys S. Ingle more than expected).
Fields of papers citing papers by Gladys S. Ingle
This network shows the impact of papers produced by Gladys S. Ingle. 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 Gladys S. Ingle. The network helps show where Gladys S. Ingle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gladys S. Ingle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | 2014 | 52 | |
| 3 | 2013 | 10 | |
| 4 | 2007 | 61 | |
| 5 | 2003 | 53 | |
| 6 | 2003 | 41 | |
| 7 | 2002 | 63 | |
| 8 | 2002 | 93 | |
| 9 | 2002 | 67 | |
| 10 | 2001 | 320 | |
| 11 | 2001 | 50 | |
| 12 | 2000 | 154 | |
| 13 | 1999 | 76 | |
| 14 | 1996 | 8 | |
| 15 | 1995 | 59 | |
| 16 | 1995 | 60 |
About Gladys S. Ingle
Gladys S. Ingle is a scholar working on Immunology and Allergy, Oncology and Modeling and Simulation, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Cell Adhesion Molecules Research (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), CAR-T cell therapy research (2 papers), Physiological and biochemical adaptations (2 papers), Immunotherapy and Immune Responses (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Selenium in Biological Systems (1 paper). The work is most often cited by research in Immunology and Allergy (72 citations), Hepatology (90 citations) and Cancer Research (154 citations). Gladys S. Ingle has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Mary E. Gerritsen, Constance Zlot, Suya Yang, Xiaohua Xin, Ralph Schwall, Linda Rangell, Joe Kowalski, Napoleone Ferrara, Kathleen A. Elias and Franklin Peale. Their work appears in journals such as American Journal Of Pathology, Arteriosclerosis Thrombosis and Vascular Biology, Endocrinology, Molecular Cancer Therapeutics and British Journal of Haematology.
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.