Bill E. Cham

62 papers receiving 1.4k citations

Bill E. Cham's Hit Papers

A solvent system for delipidation of plasma or serum without protein precipitation 1976 · 486 citations
4860+16+33Years since publication100200300400

Peers

Bill E. Cham
Comparison fields: 5 of 110
  • Biochemistry 114
  • Food Science 285
  • Endocrinology, Diabetes and Metabolism 156
  • Molecular Biology 653
  • Cancer Research 131
Replace Yasuyuki Ohtake with:
Yasuyuki Ohtake Japan
Alan Warbritton United States
Steven J. Melnick United States
M C Coene Belgium
Yuan‐Yen Chang Taiwan
Lili Gong China
A.P. Jansen Netherlands
Caterina Messa Italy
Stefania Murzilli Italy
Krishna B. Sainis India
Bill E. Cham relative to Yasuyuki Ohtake Japan Yasuyuki Ohtake's profile →
Citations per field
00.5×1.5×
Yasuyuki Ohtake · 1×
Citations per year

Countries citing papers authored by Bill E. Cham

Since Specialization
Citations

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

Fields of papers citing papers by Bill E. Cham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bill E. Cham. 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 Bill E. Cham. The network helps show where Bill E. Cham may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A solvent system for delipidation of plasma or serum without protein precipitation
Hit paper breakdown →
1976486
2 199082
3 199177
4 198773
5 199067
6 198765
7 198064
8
Solasodine glycosides as anti-cancer agents: Pre-clinical and clinical studies
199441
9 198737
10 198235
11 198533
12 198132
13 201330
14 201229
15 199927
16 197826
17 201121
18 201220
19 198916
20 197615

About Bill E. Cham

Bill E. Cham is a scholar working on Molecular Biology, Epidemiology, Surgery, Food Science and Oncology, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nonmelanoma Skin Cancer Studies (14 papers), Potato Plant Research (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Iron Metabolism and Disorders (5 papers), Plant tissue culture and regeneration (5 papers), Cutaneous Melanoma Detection and Management (4 papers) and Cholesterol and Lipid Metabolism (4 papers). The work is most often cited by research in Biochemistry (114 citations), Food Science (285 citations), Endocrinology, Diabetes and Metabolism (156 citations), Molecular Biology (653 citations) and Cancer Research (131 citations). Bill E. Cham has collaborated with scholars based in Australia, Vanuatu and Belgium. Frequent co-authors include Brian Knowles, B. Daunter, Felix Bochner, Debra M. Imhoff, H. P. Roeser, Jeffery L. Smith, David Colquhoun, Malcolm Rowland, Garry G. Graham and M. J. Eadie. Their work appears in journals such as Clinical Chemistry, Clinica Chimica Acta, Cancer Letters, Planta Medica and Journal of Clinical Apheresis.

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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