Elizabeth S. Klings
- Genetics top 0.5%
- Hemoglobinopathies and Related Disorders 55
- Myeloproliferative Neoplasms: Diagnosis and Treatment 12
- Hematology top 1%
- Iron Metabolism and Disorders 27
- Rheumatology top 5%
- Biochemistry top 5%
- Physiology top 5%
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- Pulmonary Hypertension Research and Treatments 29
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 8
- Chronic Obstructive Pulmonary Disease (COPD) Research 6
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- Systemic Sclerosis and Related Diseases 9
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- Heart Failure Treatment and Management 7
- Co-authors
- Harrison W. FarberMartin H. SteinbergJoseph LoscalzoIdowu AkinsheyeMarc A. ForgioneRobert T. EberhardtStanley HeydrickAndré Cap
- Cited by
- GeneticsHematologyRheumatology
- Journals
- Journal of Clinical Investigation (1 paper)SHILAP Revista de lepidopterología (2 papers)Blood (18 papers)
- Partner nations
- United StatesCanadaLebanon
In The Last Decade
Elizabeth S. Klings
89 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 118
- Genetics 1.2k
- Hematology 900
- Rheumatology 309
- Biochemistry 135
- Physiology 395
Countries citing papers authored by Elizabeth S. Klings
This map shows the geographic impact of Elizabeth S. Klings'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 Elizabeth S. Klings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth S. Klings more than expected).
Fields of papers citing papers by Elizabeth S. Klings
This network shows the impact of papers produced by Elizabeth S. Klings. 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 Elizabeth S. Klings. The network helps show where Elizabeth S. Klings may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elizabeth S. Klings, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 0 | |
| 15 | 2021 | 51 | |
| 16 | 2020 | 19 | |
| 17 | 2020 | 13 | |
| 18 | 2014 | 155 | |
| 19 | 2001 | 37 | |
| 20 | 2000 | 333 |
About Elizabeth S. Klings
Elizabeth S. Klings is a scholar working on Genetics, Hematology and Internal Medicine, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (55 papers), Pulmonary Hypertension Research and Treatments (29 papers), Iron Metabolism and Disorders (27 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Systemic Sclerosis and Related Diseases (9 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Heart Failure Treatment and Management (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers). The work is most often cited by research in Genetics (1.2k citations), Hematology (900 citations) and Rheumatology (309 citations). Elizabeth S. Klings has collaborated with scholars based in United States, Canada and Lebanon. Frequent co-authors include Harrison W. Farber, Martin H. Steinberg, Joseph Loscalzo, Idowu Akinsheye, Marc A. Forgione, Robert T. Eberhardt, Stanley Heydrick, André Cap, Val Nolan and Diego F. Wyszynski. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Blood.
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.