William E. Walden

2.6k citations
56 papers · 2.3k · h-index 26

Impact in

Papers in

    • RNA and protein synthesis mechanisms 21
    • RNA modifications and cancer 13
    • RNA Research and Splicing 12
    • RNA regulation and disease 9
    • Fungal and yeast genetics research 5
    • Iron Metabolism and Disorders 11

William E. Walden

53 papers receiving 2.2k citations

Peers

William E. Walden
Comparison fields: 5 of 136
  • Hematology 587
  • Nutrition and Dietetics 525
  • Molecular Biology 1.4k
  • Genetics 164
  • Renewable Energy, Sustainability and the Environment 242
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Juan Du China
Hiroshi Watarai Japan
Federica Gibellini United States
Young Seo Kim South Korea
Xuerong Wang China
Sheenah M. Mische United States
Adam C. Seegmiller United States
Andrey A. Mironov Russia
Doris M. Kupfer United States
A. Rimon Israel
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Citations per field
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Citations per year

Countries citing papers authored by William E. Walden

Since Specialization
Citations

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

Fields of papers citing papers by William E. Walden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006247
2 1981131
3 1989130
4 1998129
5 1998119
6 1990113
7 1988106
8 201291
9 198690
10 201089
11 199185
12 198977
13 199875
14 199360
15 200254
16 200054
17 199246
18 200944
19 201331
20 199431

About William E. Walden

William E. Walden is a scholar working on Molecular Biology, Hematology, Nutrition and Dietetics, Renewable Energy, Sustainability and the Environment and Artificial Intelligence, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (21 papers), RNA modifications and cancer (13 papers), RNA Research and Splicing (12 papers), Iron Metabolism and Disorders (11 papers), Trace Elements in Health (9 papers), RNA regulation and disease (9 papers), Metalloenzymes and iron-sulfur proteins (7 papers) and Fungal and yeast genetics research (5 papers). The work is most often cited by research in Hematology (587 citations), Nutrition and Dietetics (525 citations), Molecular Biology (1.4k citations), Genetics (164 citations) and Renewable Energy, Sustainability and the Environment (242 citations). William E. Walden has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Robert E. Thach, María M. Patiño, Elizabeth C. Theil, Simón Silver, Karl Volz, Susan Daniels-McQueen, T. Godefroy-Colburn, Anil Kumar Sharma, Jérôme Dupuy and Anne Volbeda. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemistry, Nucleic Acids Research and Journal of Molecular Biology.

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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