Daniel Rudman

2.4k citations
34 papers · 1.9k indexed · h-index 24

Impact in

Papers in

Daniel Rudman

34 papers receiving 1.7k citations

Peers

Daniel Rudman
Comparison fields: 5 of 111
  • Hepatology 576
  • Clinical Biochemistry 360
  • Biochemistry 290
  • Rheumatology 282
  • Endocrinology, Diabetes and Metabolism 304
Replace J.B. Rodgers with:
J.B. Rodgers United States
A D Thomson United States
Sergio Neri Italy
P. Schauder Germany
C L Mendenhall United States
Neil Dalton United Kingdom
Björn Anderstam Sweden
Sari Mäkimattila Finland
Kun‐san Xiang China
Gabriele E. Sonnenberg United States
Daniel Rudman relative to J.B. Rodgers United States J.B. Rodgers's profile →
Citations per field
00.5×4.0×
J.B. Rodgers · 1×
Citations per year

Countries citing papers authored by Daniel Rudman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rudman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20097
2 199431
3 199336
4 199371
5 199325
6 19895
7 198945
8 198916
9 198825
10 198715
11 198580
12 198243
13 198167
14 1981201
15 197837
16 1978251
17 197729
18 197421
19 1973146
20 197023

About Daniel Rudman

Daniel Rudman is a scholar working on Hepatology, Biochemistry, Clinical Biochemistry, Cell Biology and Behavioral Neuroscience, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (9 papers), Diet and metabolism studies (8 papers), Liver Disease and Transplantation (7 papers), Clinical Nutrition and Gastroenterology (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Metabolism and Genetic Disorders (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Folate and B Vitamins Research (4 papers). The work is most often cited by research in Hepatology (576 citations), Clinical Biochemistry (360 citations), Biochemistry (290 citations), Rheumatology (282 citations) and Endocrinology, Diabetes and Metabolism (304 citations). Daniel Rudman has collaborated with scholars based in United States. Frequent co-authors include Raymond P. Bain, Rajender K. Chawla, Layton F. Rikkers, Robert B. Smith, W. Dean Warren, David Freides, Michael Kutner, Atef A. Salam, John T. Galambos and Dale E. Mattson. Their work appears in journals such as American Journal of Clinical Nutrition, Gastroenterology, Journal of Clinical Investigation, Journal of the American Geriatrics Society and Journal of Nutrition.

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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