Jane Ranchalis

56 papers receiving 3.3k citations

Peers

Jane Ranchalis
Comparison fields: 5 of 116
  • Virology 591
  • Clinical Biochemistry 194
  • Genetics 489
  • Molecular Biology 1.1k
  • Rehabilitation 90
Replace Tomoko Kobayashi with:
Tomoko Kobayashi Japan
Maria Vittoria Schiaffino Italy
Wenhui Hu United States
Simon Phipps Australia
Prisco Mirandola Italy
Qingde Wang United States
Bonnie Thiel United States
Elena Fattori Italy
Aurélie Y. Le Page Canada
Sameh A. Youssef Netherlands
Jane Ranchalis relative to Tomoko Kobayashi Japan Tomoko Kobayashi's profile →
Citations per field
00.5×5×11.3×
Tomoko Kobayashi · 1×
Citations per year

Countries citing papers authored by Jane Ranchalis

Since Specialization
Citations

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

Fields of papers citing papers by Jane Ranchalis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003623
2 2012224
3 1987216
4 1997210
5 2014141
6
Mouse embryonic transforming growth factors related to those isolated from tumor cells.
1982140
7 1985129
8 1996127
9 2013123
10 1995119
11 1995112
12 198790
13
Transforming growth factors in the urine of normal, pregnant, and tumor-bearing humans.
198282
14 201482
15 198277
16 199770
17 199068
18 199468
19 200549
20 198748

About Jane Ranchalis

Jane Ranchalis is a scholar working on Clinical Biochemistry, Virology, Genetics, Molecular Biology and Oncology, having authored 57 papers that have together received 3.5k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (12 papers), Genetic Associations and Epidemiology (11 papers), Paraoxonase enzyme and polymorphisms (9 papers), HIV Research and Treatment (5 papers), Lipoproteins and Cardiovascular Health (5 papers), HER2/EGFR in Cancer Research (4 papers), Genomics and Chromatin Dynamics (3 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Virology (591 citations), Clinical Biochemistry (194 citations), Genetics (489 citations), Molecular Biology (1.1k citations) and Rehabilitation (90 citations). Jane Ranchalis has collaborated with scholars based in United States, Netherlands and Finland. Frequent co-authors include Daniel R. Twardzik, George J. Todaro, Gail Pairitz Jarvik, Larry E. Gentry, George Gaitanaris, John G. Hohmann, Demetrios K. Vassilatis, J E Bergmann, Marty T. Mortrud and Hongkui Zeng. Their work appears in journals such as Journal of Lipid Research, The American Journal of Human Genetics, Molecular and Cellular Biology, Lipids in Health and Disease and Cell Genomics.

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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