Philip Tedeschi

1.3k citations
40 papers · 788 · h-index 16

Impact in

Papers in

Philip Tedeschi

37 papers receiving 729 citations

Peers

Philip Tedeschi
Comparison fields: 5 of 96
  • Nephrology 85
  • Economics and Econometrics 271
  • General Health Professions 243
  • Emergency Medicine 67
  • Oncology 170
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Citations per year

Countries citing papers authored by Philip Tedeschi

Since Specialization
Citations

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

Fields of papers citing papers by Philip Tedeschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Tedeschi. 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 Philip Tedeschi. The network helps show where Philip Tedeschi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999111
2 1989100
3
Use of community versus individual socioeconomic data in predicting variation in hospital use.
199870
4
Excerpts from the 1993 USRDS Annual Data Report.
199356
5
Community correlates of hospital use.
198445
6 200535
7 200333
8 201730
9 200329
10 198528
11 200125
12 200923
13
Measuring community hospital service in Michigan.
198121
14 200321
15 201920
16
Is case-mix adjustment necessary for an expanded dialysis bundle?
200315
17 199114
18 201914
19
Patterns of surgical and nonsurgical hospital use in Michigan communities from 1980 through 1984.
198911
20 201910

About Philip Tedeschi

Philip Tedeschi is a scholar working on General Health Professions, Economics and Econometrics, Genetics, Oncology and Nephrology, having authored 40 papers that have together received 788 indexed citations. Recurring topics across this work include Healthcare Policy and Management (14 papers), Primary Care and Health Outcomes (10 papers), Human-Animal Interaction Studies (8 papers), Global Health Care Issues (6 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Colorectal Cancer Screening and Detection (4 papers), Global Cancer Incidence and Screening (4 papers) and Dialysis and Renal Disease Management (4 papers). The work is most often cited by research in Nephrology (85 citations), Economics and Econometrics (271 citations), General Health Professions (243 citations), Emergency Medicine (67 citations) and Oncology (170 citations). Philip Tedeschi has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Laurence F. McMahon, Robert A. Wolfe, Peter Wilson, John R. Griffith, Kevin N. Morris, Saling Huang, Willard G. Manning, Mark J. Edlund, Richard A. Hirth and John R.C. Wheeler. Their work appears in journals such as Medical Care, American Journal of Kidney Diseases, Cancer, Journal of Clinical Gastroenterology and The Prison Journal.

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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