Samuel Baldwin

421 total citations
9 papers, 359 citations indexed

About

Samuel Baldwin is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Samuel Baldwin has authored 9 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Immunology. Recurrent topics in Samuel Baldwin's work include SARS-CoV-2 and COVID-19 Research (2 papers), Immune Response and Inflammation (2 papers) and Biochemical and Molecular Research (2 papers). Samuel Baldwin is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Immune Response and Inflammation (2 papers) and Biochemical and Molecular Research (2 papers). Samuel Baldwin collaborates with scholars based in United Kingdom and United States. Samuel Baldwin's co-authors include Edward C. Taylor, R G Moran, C Shih, Lynn S. Gossett, Edward C. Taylor, Chuan Shih, Richard G. Moran, Archie Tse, A. Rosowsky and Anthony Tsarbopoulos and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Samuel Baldwin

9 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel Baldwin United Kingdom	6	189	115	71	64	55	9	359
H. Ariel Alvarez Argentina	6	195 1.0×	177 1.5×	42 0.6×	77 1.2×	69 1.3×	13	345
Cindy Palmer United States	8	158 0.8×	33 0.3×	40 0.6×	39 0.6×	41 0.7×	10	275
Jillian DiMuzio United States	11	225 1.2×	93 0.8×	27 0.4×	37 0.6×	108 2.0×	17	549
Lynne Cregar United States	12	251 1.3×	63 0.5×	41 0.6×	11 0.2×	33 0.6×	14	401
Katherine A. Vousden United Kingdom	6	137 0.7×	76 0.7×	24 0.3×	34 0.5×	25 0.5×	11	299
Gregory M. Vath United States	10	215 1.1×	103 0.9×	32 0.5×	19 0.3×	136 2.5×	13	429
Renata Kaczmarek Poland	12	268 1.4×	28 0.2×	51 0.7×	18 0.3×	101 1.8×	37	417
Praveer Gupta Australia	11	465 2.5×	78 0.7×	126 1.8×	15 0.2×	34 0.6×	15	621
Mirosława Ferens-Sieczkowska Poland	15	289 1.5×	148 1.3×	42 0.6×	30 0.5×	7 0.1×	32	443
Kevin O’Donnell United States	11	191 1.0×	168 1.5×	177 2.5×	24 0.4×	22 0.4×	18	534

Countries citing papers authored by Samuel Baldwin

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Baldwin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Baldwin

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

All Works

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9 of 9 papers shown

Fenn, Joe, Aleksandra Koycheva, Mica Tolosa-Wright, et al.. (2025). Early de novo T cell expansion following SARS-CoV-2 infection predicts favourable clinical and virological outcomes. EBioMedicine. 117. 105795–105795. 1 indexed citations

Mohanraj, D., et al.. (2022). Cellular and humoral responses to SARS-CoV-2 vaccination in immunosuppressed patients. Cellular Immunology. 373. 104501–104501. 1 indexed citations

Harrison, Paul, et al.. (2022). Feasibility of a mean platelet volume standard: an international council for standardization in hematology (ICSH) inter-laboratory study. Platelets. 33(8). 1159–1167. 2 indexed citations

Tan, Jimmy, Hong Rong, Samuel Baldwin, et al.. (1995). Characterization of Recombinant Extracellular Domain of Human Interleukin-10 Receptor. Journal of Biological Chemistry. 270(21). 12906–12911. 55 indexed citations

Rajan, Nicholas, Anthony Tsarbopoulos, Robert T. OʼDonnell, et al.. (1995). Characterization of Recombinant Human Interleukin 4 Receptor from CHO Cells: Role of N-Linked Oligosaccharides. Biochemical and Biophysical Research Communications. 206(2). 694–702. 17 indexed citations

Windsor, William T., Rosalinda Syto, Anthony Tsarbopoulos, et al.. (1993). Disulfide bond assignments and secondary structure analysis of human and murine interleukin 10. Biochemistry. 32(34). 8807–8815. 74 indexed citations

Murgolo, Nicholas, William T. Windsor, Alan Hruza, et al.. (1993). A homology model of human interferon α‐2. Proteins Structure Function and Bioinformatics. 17(1). 62–74. 19 indexed citations

Baldwin, Samuel, Archie Tse, Lynn S. Gossett, et al.. (1991). Structural features of 5,10-dideaza-5,6,7,8-tetrahydrofolate that determine inhibition of mammalian glycinamide ribonucleotide formyltransferase. Biochemistry. 30(7). 1997–2006. 96 indexed citations

Moran, R G, Samuel Baldwin, Edward C. Taylor, & C Shih. (1989). The 6S- and 6R-Diastereomers of 5, 10-Dideaza-5, 6, 7, 8-tetrahydrofolate Are Equiactive Inhibitors of de Novo Purine Synthesis. Journal of Biological Chemistry. 264(35). 21047–21051. 94 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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