M. Silverman

31 papers receiving 475 citations

Peers

M. Silverman
Comparison fields: 5 of 117
  • Clinical Biochemistry 33
  • Nephrology 32
  • Oncology 89
  • Physiology 85
  • Rheumatology 46
Replace P. J. Brombacher with:
P. J. Brombacher Netherlands
Thomas A. Good United States
H. Schmidt Germany
T.C. Northfield United Kingdom
O. Dhodanand Kowlessar United States
Douglas H. Sandberg United States
S Sherlock United Kingdom
B.E. Northam United Kingdom
C. P. Peter United States
Harold B. Anstall United States
M. Silverman relative to P. J. Brombacher Netherlands P. J. Brombacher's profile →
Citations per field
00.5×1.5×1.9×
P. J. Brombacher · 1×
Citations per year

Countries citing papers authored by M. Silverman

Since Specialization
Citations

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

Fields of papers citing papers by M. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Metabolism of human carcinoembryonic antigen in xenogeneic animals.
197376
2 196275
3 195246
4 199438
5 196237
6 196130
7 199428
8 196225
9 198124
10
Increased bronchial responsiveness caused by ingestion of ice.
198521
11 196120
12 197716
13 196016
14 196315
15 195615
16
Human umbilical cord vein for vascular replacement: preliminary report and observations.
197714
17 198613
18 199312
19 198811
20
Diabetic glomerulopathy following unilateral nephrectomy in the dog.
19909

About M. Silverman

M. Silverman is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Clinical Biochemistry and Nephrology, having authored 35 papers that have together received 571 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Pediatric health and respiratory diseases (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Respiratory viral infections research (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Neonatal Health and Biochemistry (2 papers), Infant Health and Development (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Clinical Biochemistry (33 citations), Nephrology (32 citations), Oncology (89 citations), Physiology (85 citations) and Rheumatology (46 citations). M. Silverman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Phil Gold, J. Shuster, J. M. Noronha, George M. Briggs, John C. Keresztesy, Rita C. Gardiner, A. S. V. Burgen, Barbara E. Wright, N B Bowley and Ian M. Balfour‐Lynn. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Archives of Disease in Childhood, Journal of Bacteriology, American Journal of Physiology-Renal Physiology and Experimental Biology and Medicine.

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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