Michael Katz

8.2k citations
224 papers · 6.2k indexed · 1 hit paper · h-index 41

Michael Katz

217 papers receiving 5.8k citations

Hit Papers

The Enigma of Spontaneous Preterm Birth5022010202620152020100200300400500

Peers

Michael Katz
Comparison fields: 5 of 180
  • Aging 183
  • Endocrinology, Diabetes and Metabolism 987
  • Epidemiology 1.4k
  • Reproductive Medicine 299
  • Obstetrics and Gynecology 265
Replace Jiang Gu with:
Jiang Gu China
Cathryn M. Lewis United Kingdom
Charles N. Rotimi United States
Patrik K. E. Magnusson Sweden
Susan J. Clark Australia
Adebowale Adeyemo United States
Karen Vranizan United States
Niels V. Holm Denmark
M. Daniele Fallin United States
James Bentham United Kingdom
Michael Katz relative to Jiang Gu China Jiang Gu's profile →
Citations per field
00.5×4.5×
Jiang Gu · 1×
Citations per year

Countries citing papers authored by Michael Katz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20222
4 202132
5 20175
6 201427
7 201254
8 20117
9 201114
10
The Enigma of Spontaneous Preterm Birthbreakdown →
2010502
11 20053
12
Geriatric Dental Education and Training in the United States of America
20030
13 20018
14
Justice and caring : the search for common ground in education
1999138
15 199949
16 199611
17 199338
18 199012
19 1988225
20 19870

About Michael Katz

Michael Katz is a scholar working on Epidemiology, Hematology and Aging, having authored 224 papers that have together received 6.2k indexed citations. Recurring topics across this work include Virology and Viral Diseases (26 papers), Multiple Myeloma Research and Treatments (13 papers), Adipose Tissue and Metabolism (13 papers), Receptor Mechanisms and Signaling (10 papers), Ethics in Clinical Research (9 papers), Diet and metabolism studies (9 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Liver physiology and pathology (8 papers). The work is most often cited by research in Aging (183 citations), Endocrinology, Diabetes and Metabolism (987 citations) and Epidemiology (1.4k citations). Michael Katz has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Louis J. Muglia, Hilary Koprowski, Steven M. Haffner, James F. Dunn, Volker ter Meulen, Roger McCarter, C. Alex McMahan, Edward J. Masoro, Rodolfo Valdéz and Leena Mykkänen. Their work appears in journals such as Blood, Journal of Clinical Oncology, The Journal of Pediatrics, Journal of Pediatric Surgery and American Journal of Physiology-Endocrinology and Metabolism.

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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