Tyler D. Biggs

514 total citations
13 papers, 443 citations indexed

About

Tyler D. Biggs is a scholar working on Organic Chemistry, Molecular Biology and Genetics. According to data from OpenAlex, Tyler D. Biggs has authored 13 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Organic Chemistry, 5 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Tyler D. Biggs's work include Sulfur-Based Synthesis Techniques (4 papers), Chemical Synthesis and Analysis (3 papers) and Sulfur Compounds in Biology (3 papers). Tyler D. Biggs is often cited by papers focused on Sulfur-Based Synthesis Techniques (4 papers), Chemical Synthesis and Analysis (3 papers) and Sulfur Compounds in Biology (3 papers). Tyler D. Biggs collaborates with scholars based in United States and China. Tyler D. Biggs's co-authors include Ming Xian, Yu Zhao, Chuan Dong, Nelmi O. Devarie‐Baez, Caihong Zhang, Shaomin Shuang, Stephen Ficklin, Chung‐Min Park, Wei Niu and Chunrong Liu and has published in prestigious journals such as Chemical Communications, Organic Letters and BMC Bioinformatics.

In The Last Decade

Tyler D. Biggs

13 papers receiving 441 citations

Peers

Tyler D. Biggs

BIOCH

MB

PHYSI

BE

OC

Preeti Chauhan India

Ryan J. Carrazzone United States

Joyjyoti Das India

Laksiri Weerasinghe Sri Lanka

Attia Afzal Pakistan

Feng Wei China

Hua Yao United States

Masahiko Ohta Japan

Nils Billecke Germany

Aleksandra Mitrović Serbia

Preeti Chauhan India

Tyler D. Biggs

354 ×1.3

BIOCH

128 ×1.2

MB

51 ×0.7

PHYSI

94 ×1.3

BE

85 ×1.3

OC

Citations per year, relative to Tyler D. Biggs Tyler D. Biggs (= 1×) peers Preeti Chauhan

Countries citing papers authored by Tyler D. Biggs

Since Specialization

Citations

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

Fields of papers citing papers by Tyler D. Biggs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyler D. Biggs. 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 Tyler D. Biggs. The network helps show where Tyler D. Biggs may publish in the future.

Co-authorship network of co-authors of Tyler D. Biggs

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler D. Biggs. A scholar is included among the top collaborators of Tyler D. Biggs 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 Tyler D. Biggs. Tyler D. Biggs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Marzougui, Afef, et al.. (2025). Machine learning-derived cumulative health measure for assessing disease impact in dairy cattle. Frontiers in Animal Science. 6. 4 indexed citations

2.

Biggs, Tyler D., et al.. (2022). GEMmaker: process massive RNA-seq datasets on heterogeneous computational infrastructure. BMC Bioinformatics. 23(1). 156–156. 7 indexed citations

3.

Biggs, Tyler D., et al.. (2021). Named Data Networking for Genomics Data Management and Integrated Workflows. Frontiers in Big Data. 4. 582468–582468. 7 indexed citations

4.

Biggs, Tyler D., et al.. (2021). Addressing noise in co-expression network construction. Briefings in Bioinformatics. 23(1). 7 indexed citations

5.

Biggs, Tyler D., et al.. (2020). A Fixed Cohort Field Study of Gene Expression in Circulating Leukocytes From Dairy Cows With and Without Mastitis. Frontiers in Veterinary Science. 7. 559279–559279. 9 indexed citations

6.

Biggs, Tyler D., et al.. (2020). Transcriptomic analysis of peripheral leukocytes in dairy cows with and without evidence of metritis and associated early postpartum disease. Applied Animal Science. 36(6). 784–798. 3 indexed citations

7.

Zhang, Caihong, Tyler D. Biggs, Nelmi O. Devarie‐Baez, et al.. (2017). S-Nitrosothiols: chemistry and reactions. Chemical Communications. 53(82). 11266–11277. 72 indexed citations

8.

Park, Chung‐Min, Tyler D. Biggs, & Ming Xian. (2016). Proline-based phosphoramidite reagents for the reductive ligation of S-nitrosothiols. The Journal of Antibiotics. 69(4). 313–318. 1 indexed citations

9.

Biggs, Tyler D., Laksiri Weerasinghe, Chung‐Min Park, & Ming Xian. (2015). Phosphine mediated conjugation of S-nitrosothiols and aldehydes. Tetrahedron Letters. 56(21). 2741–2743. 6 indexed citations

10.

Zhao, Yu, Tyler D. Biggs, & Ming Xian. (2014). Hydrogen sulfide (H₂S) releasing agents: chemistry and biological applications. Chemical Communications. 50(80). 11788–11805. 311 indexed citations

11.

Zhao, Yu, Tyler D. Biggs, & Ming Xian. (2014). ChemInform Abstract: Hydrogen Sulfide (H₂S) Releasing Agents: Chemistry and Biological Applications. ChemInform. 45(45). 2 indexed citations

12.

Niu, Wei, et al.. (2012). A Proline-Based Phosphine Template for Staudinger Ligation. Organic Letters. 14(19). 5166–5166. 2 indexed citations

13.

Niu, Wei, et al.. (2012). A Proline-Based Phosphine Template for Staudinger Ligation. Organic Letters. 14(17). 4694–4697. 12 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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