Ted P. Szatrowski

14.0k citations
41 papers · 10.9k indexed · 3 hit papers · h-index 26

Ted P. Szatrowski

41 papers receiving 10.7k citations

Hit Papers

Dasatinib versus Imatinib in Newly Diag...1.1k199120262002201410002.0k3.0k4.0k5.0k

Peers

Ted P. Szatrowski
Comparison fields: 5 of 170
  • Hematology 1.5k
  • Geriatrics and Gerontology 534
  • Genetics 1.1k
  • Critical Care and Intensive Care Medicine 414
  • Cardiology and Cardiovascular Medicine 1.6k
Replace Jodi B Segal with:
Jodi B Segal United States
David A. Roth United States
George A. Kaysen United States
Garabed Eknoyan United States
Paul T. Seed United Kingdom
Mark J. Sarnak United States
Ewa A. Jankowska Poland
Kai‐Uwe Eckardt Germany
Paul P. Carbone United States
Susan S. Jick United States
Ted P. Szatrowski relative to Jodi B Segal United States Jodi B Segal's profile →
Citations per field
00.5×1.5×
Jodi B Segal · 1×
Citations per year

Countries citing papers authored by Ted P. Szatrowski

Since Specialization
Citations

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

Fields of papers citing papers by Ted P. Szatrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ted P. Szatrowski. 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 Ted P. Szatrowski. The network helps show where Ted P. Szatrowski may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201886
2 201837
3
Dasatinib versus Imatinib in Newly Diagnosed Chronic-Phase Chronic Myeloid Leukemiabreakdown →
20101103
4 200343
5 200316
6 200211
7 199917
8 199726
9 199679
10 199626
11 1996109
12 19965
13 199525
14 1995307
15 199515
16
Validation of a combined comorbidity indexbreakdown →
19945218
17 199460
18 19934
19 1982163
20 1982125

About Ted P. Szatrowski

Ted P. Szatrowski is a scholar working on Hematology, Genetics and Developmental Neuroscience, having authored 41 papers that have together received 10.9k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Aortic aneurysm repair treatments (6 papers), Aortic Thrombus and Embolism (5 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Prostate Cancer Treatment and Research (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Hematology (1.5k citations), Geriatrics and Gerontology (534 citations) and Genetics (1.1k citations). Ted P. Szatrowski has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Jeffrey P. Gold, Mary E. Charlson, Janey C. Peterson, Carl Nathan, M E Charlson, Pamela Williams‐Russo, Gregg S. Hartman, Ross L. Prentice, Mark W. Mason and Hiroo Kato. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology 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.

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