William R. Jeck

15.2k citations
42 papers · 7.8k indexed · 4 hit papers · h-index 20

William R. Jeck

37 papers receiving 7.7k citations

Hit Papers

Breast c...38201020262015202010002.0k3.0k

Peers

William R. Jeck
Comparison fields: 5 of 130
  • Cancer Research 5.6k
  • Molecular Biology 6.9k
  • Aging 46
  • Hepatology 105
  • Immunology 262
Replace Brian R. Fritz with:
Brian R. Fritz United States
Jason D. Arroyo United States
Alessandro Fatica Italy
Yvonne Tay Singapore
Eti Meiri Israel
Laura Poliseno Italy
Jeremy E. Wilusz United States
Era L. Pogosova‐Agadjanyan United States
Ulrike Ziebold Germany
Pieter Mestdagh Belgium
William R. Jeck relative to Brian R. Fritz United States Brian R. Fritz's profile →
Citations per field
00.5×
Brian R. Fritz · 1×
Citations per year

Countries citing papers authored by William R. Jeck

Since Specialization
Citations

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

Fields of papers citing papers by William R. Jeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William R. Jeck. 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 William R. Jeck. The network helps show where William R. Jeck may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2
Breast cancer exploits neural signaling pathways for bone-to-meninges metastasisbreakdown →
202438
3 20240
4 20240
5 202311
6 20233
7 20234
8 20222
9 202227
10 20229
11 202111
12 202112
13 202070
14 201829
15 201834
16 201641
17 2014135
18
Detecting and characterizing circular RNAsbreakdown →
20142076
19 2008117
20 200796

About William R. Jeck

William R. Jeck is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 42 papers that have together received 7.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), RNA modifications and cancer (7 papers), Molecular Biology Techniques and Applications (4 papers), Genetic factors in colorectal cancer (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Circular RNAs in diseases (3 papers), Ferroptosis and cancer prognosis (2 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Cancer Research (5.6k citations), Molecular Biology (6.9k citations) and Aging (46 citations). William R. Jeck has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Norman E. Sharpless, Christin E. Burd, Jessica A. Sorrentino, Michael K. Slevin, William F. Marzluff, Kai Wang, Jinze Liu, Yan Liu, Zefeng Wang and Hanna K. Sanoff. Their work appears in journals such as Science, Journal of Biological Chemistry and Nature 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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