Jack A. Schmidt

25 papers receiving 1.1k citations

Peers

Jack A. Schmidt
Comparison fields: 5 of 106
  • Pathology and Forensic Medicine 464
  • Hepatology 98
  • Biochemistry 66
  • Epidemiology 274
  • Pharmacology 71
Replace Daniel R. Schmidt with:
Daniel R. Schmidt United States
Sharon Manley United States
Yuanyuan Weng China
Bryan Mackowiak United States
Ei Kataoka Japan
Laura Conde de la Rosa United States
Yulia Alexandrowna Nevzorova Germany
Raúl González Spain
Inmaculada García Ruiz Spain
Ja–June Jang South Korea
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Citations per year

Countries citing papers authored by Jack A. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Jack A. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack A. Schmidt. 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 Jack A. Schmidt. The network helps show where Jack A. Schmidt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993258
2 1998242
3 1998175
4 199990
5 199887
6 200153
7 199533
8 200124
9 200722
10 199922
11 201422
12
Endothelin-1 induces CD40 but not IL-6 in human monocytes via the proinflammatory transcription factor NF-kappaB.
200520
13 198715
14 198914
15 200811
16
Characterization of platelet-activating factor induced superoxide anion generation by guinea-pig alveolar macrophages.
199211
17 199410
18 19996
19 19995
20 19915

About Jack A. Schmidt

Jack A. Schmidt is a scholar working on Discrete Mathematics and Combinatorics, Pathology and Forensic Medicine, Oncology, Epidemiology and Spectroscopy, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (5 papers), Finite Group Theory Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Analytical Chemistry and Chromatography (3 papers), Peptidase Inhibition and Analysis (3 papers), graph theory and CDMA systems (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and Education, Achievement, and Giftedness (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (464 citations), Hepatology (98 citations), Biochemistry (66 citations), Epidemiology (274 citations) and Pharmacology (71 citations). Jack A. Schmidt has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include Craig James McClain, Daniell B. Hill, Anna Mae Diehl, Donald A. Cohen, Marie‐Claude Monier‐Faugere, Zhaopo Geng, Peter E. Morris, Paolo Fanti, H H Malluche and Eun Y. Lee. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Journal of Biological Chemistry, Canadian Journal of Forest Research, American Journal of Physiology-Gastrointestinal and Liver Physiology and Seminars in Liver Disease.

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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