C. G. Lis

5.9k citations
71 papers · 4.4k indexed · 1 hit paper · h-index 34

C. G. Lis

70 papers receiving 4.3k citations

Hit Papers

Pretreatment serum albumin as a predictor of cancer survi...1.1k20102026201520202505007501000

Peers

C. G. Lis
Comparison fields: 5 of 145
  • Geriatrics and Gerontology 388
  • Oncology 1.8k
  • Physiology 1.6k
  • Otorhinolaryngology 140
  • Endocrine and Autonomic Systems 150
Replace Digant Gupta with:
Digant Gupta United States
Bernd Holleczek Germany
Claudio Luchini Italy
Marilyn L. Kwan United States
Jørn Herrstedt Denmark
Andrew Wilcock United Kingdom
J. Lynn Palmer United States
Amy J. Davidoff United States
Kathy B. Baumgartner United States
Cinzia Brunelli Italy
C. G. Lis relative to Digant Gupta United States Digant Gupta's profile →
Citations per field
00.5×1.7×
Digant Gupta · 1×
Citations per year

Countries citing papers authored by C. G. Lis

Since Specialization
Citations

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

Fields of papers citing papers by C. G. Lis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. G. Lis. 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 C. G. Lis. The network helps show where C. G. Lis may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201341
2 2013176
3 2012227
4 201221
5 201136
6 201162
7 20103
8 200948
9 200941
10 200812
11 200743
12 2007109
13 200626
14 200633
15 200631
16 200559
17 200517
18
The role of the patient-generated subjective global assessment (PG-SGA) in nutritional evaluation for advanced colorectal cancer
20043
19 200492
20 199738

About C. G. Lis

C. G. Lis is a scholar working on Oncology, Endocrine and Autonomic Systems and Physiology, having authored 71 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cancer survivorship and care (23 papers), Nutrition and Health in Aging (12 papers), Patient Satisfaction in Healthcare (10 papers), Body Composition Measurement Techniques (8 papers), Childhood Cancer Survivors' Quality of Life (7 papers), Circadian rhythm and melatonin (7 papers), Patient-Provider Communication in Healthcare (7 papers) and Cancer Risks and Factors (6 papers). The work is most often cited by research in Geriatrics and Gerontology (388 citations), Oncology (1.8k citations) and Physiology (1.6k citations). C. G. Lis has collaborated with scholars based in United States. Frequent co-authors include Digant Gupta, James F. Grutsch, C. A. Lammersfeld, Pankaj G. Vashi, S. Dahlk, Mark Rodeghier, Jessica King, Robert D. Levin, Maurie Markman and J. Burrows. Their work appears in journals such as Journal of Clinical Oncology, Supportive Care in Cancer, Nutrition Journal, BMC Cancer and Cancer Research.

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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