William A. Held

5.8k total citations · 1 hit paper
58 papers, 3.4k citations indexed

About

William A. Held is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, William A. Held has authored 58 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Artificial Intelligence. Recurrent topics in William A. Held's work include Epigenetics and DNA Methylation (16 papers), RNA modifications and cancer (13 papers) and RNA and protein synthesis mechanisms (12 papers). William A. Held is often cited by papers focused on Epigenetics and DNA Methylation (16 papers), RNA modifications and cancer (13 papers) and RNA and protein synthesis mechanisms (12 papers). William A. Held collaborates with scholars based in United States, Japan and Russia. William A. Held's co-authors include Michio Nomura, Shôji Mizushima, Nicholas D. Hastie, Byron Ballou, Hiroki Nagase, John J. Toole, Fei Song, Christoph Plass, Phillip Shaw and Diyi Yang and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

William A. Held

54 papers receiving 3.2k citations

Hit Papers

Can Large Language Models Transform Computational Social ... 2023 2026 2024 2025 2023 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William A. Held United States 31 2.4k 863 226 195 184 58 3.4k
Robert J. Lipshutz United States 11 3.0k 1.2× 1.2k 1.4× 182 0.8× 58 0.3× 76 0.4× 14 4.3k
Hong Xiao United States 27 2.3k 1.0× 1.0k 1.2× 277 1.2× 71 0.4× 224 1.2× 101 4.1k
Hilmar Lapp United States 21 3.1k 1.3× 682 0.8× 328 1.5× 66 0.3× 283 1.5× 59 4.5k
Paul Shannon United States 23 3.0k 1.2× 1.6k 1.9× 137 0.6× 88 0.5× 155 0.8× 43 4.8k
Jenny M. Kelley United States 11 2.2k 0.9× 646 0.7× 139 0.6× 40 0.2× 156 0.8× 14 3.0k
Kenneth Katz United States 14 2.1k 0.9× 997 1.2× 238 1.1× 66 0.3× 113 0.6× 19 3.2k
Matt W. Wright United Kingdom 24 2.3k 1.0× 992 1.1× 290 1.3× 95 0.5× 523 2.8× 31 4.4k
Mathieu Blanchette Canada 38 5.3k 2.2× 1.7k 2.0× 194 0.9× 67 0.3× 231 1.3× 125 6.4k
Belinda Giardine United States 28 3.2k 1.3× 734 0.9× 80 0.4× 319 1.6× 196 1.1× 61 4.7k
Israel Steinfeld Israel 19 4.1k 1.7× 1.0k 1.2× 416 1.8× 150 0.8× 212 1.2× 27 5.5k

Countries citing papers authored by William A. Held

Since Specialization
Citations

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

Fields of papers citing papers by William A. Held

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William A. Held

This figure shows the co-authorship network connecting the top 25 collaborators of William A. Held. A scholar is included among the top collaborators of William A. Held based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William A. Held. William A. Held is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Held, William A., et al.. (2023). Task-Agnostic Low-Rank Adapters for Unseen English Dialects. 7857–7870. 2 indexed citations
3.
Shaikh, Omar, et al.. (2023). Modeling Cross-Cultural Pragmatic Inference with Codenames Duet. 6550–6569. 4 indexed citations
4.
Ziems, Caleb, et al.. (2023). Can Large Language Models Transform Computational Social Science?. Computational Linguistics. 50(1). 237–291. 201 indexed citations breakdown →
5.
Ziems, Caleb, et al.. (2023). Multi-VALUE: A Framework for Cross-Dialectal English NLP. 7 indexed citations
6.
Held, William A., et al.. (2023). DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules. 13776–13793. 3 indexed citations
7.
Held, William A., Christopher Hidey, Fei Liu, et al.. (2023). DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue. 3586–3604.
8.
Held, William A., Caleb Ziems, & Diyi Yang. (2023). TADA : Task Agnostic Dialect Adapters for English. 813–824. 5 indexed citations
9.
Terui, Tadashi, Hiroyuki Hara, Makoto Kimura, et al.. (2010). Identification and analysis of an early diagnostic marker for malignant melanoma: ZAR1 intra-genic differential methylation. Journal of Dermatological Science. 59(2). 98–106. 26 indexed citations
10.
Song, Fei, Saleh Mahmood, Srimoyee Ghosh, et al.. (2008). Tissue specific differentially methylated regions (TDMR): Changes in DNA methylation during development. Genomics. 93(2). 130–139. 105 indexed citations
11.
Igarashi, Jun, Hiroyuki Kawashima, Eiko Kitamura, et al.. (2008). Quantitative analysis of human tissue-specific differences in methylation. Biochemical and Biophysical Research Communications. 376(4). 658–664. 35 indexed citations
12.
Kitamura, Eiko, Jun Igarashi, Naoko Hida, et al.. (2007). Analysis of tissue-specific differentially methylated regions (TDMs) in humans. Genomics. 89(3). 326–337. 71 indexed citations
13.
Plass, Christoph, Feng Yu, Li Yu, et al.. (1999). Restriction landmark genome scanning for aberrant methylation in primary refractory and relapsed acute myeloid leukemia; involvement of the WIT-1 gene. Oncogene. 18(20). 3159–3165. 48 indexed citations
15.
Pearsall, R. Scott, Kenji Imai, Hajime Shibata, et al.. (1998). The Rasgrf1-repeat sequence (D9Ncvs53) maps between Mod1 and Rbp1 on mouse Chromosome 9 and may define a putative imprinted region. Mammalian Genome. 9(3). 261–262. 3 indexed citations
16.
Akama, Tomoya O., Yasushi Okazaki, Mitsuteru Ito, et al.. (1997). Restriction landmark genomic scanning (RLGS-M)-based genome-wide scanning of mouse liver tumors for alterations in DNA methylation status.. PubMed. 57(15). 3294–9. 51 indexed citations
17.
Shibata, Hajime, Takayuki Ueda, Mamoru Kamiya, et al.. (1997). An Oocyte-Specific Methylation Imprint Center in the MouseU2afbp-rs/U2af1-rs1Gene Marks the Establishment of Allele-Specific Methylation during Preimplantation Development. Genomics. 44(2). 171–178. 23 indexed citations
18.
Chang, Tien‐Hsien, Nanditta Banerjee, Jeremy A. Bruenn, et al.. (1989). A very small viral double-stranded RNA. Virus Genes. 2(2). 195–206. 15 indexed citations
19.
Held, William A., et al.. (1987). Identification and Characterization of Functional Genes Encoding the Mouse Major Urinary Proteins. Molecular and Cellular Biology. 7(10). 3705–3712. 9 indexed citations
20.
Nomura, Michio & William A. Held. (1974). Reconstitution of Ribosomes: Studies of Ribosome Structure, Function and Assembly. Cold Spring Harbor Monograph Archive. 4. 193–223. 50 indexed citations

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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