Sam Nichols

611 total citations
2 papers, 52 citations indexed

About

Sam Nichols is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Sam Nichols has authored 2 papers receiving a total of 52 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Oncology and 1 paper in Hematology. Recurrent topics in Sam Nichols's work include Inflammatory Biomarkers in Disease Prognosis (1 paper), Platelet Disorders and Treatments (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). Sam Nichols is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (1 paper), Platelet Disorders and Treatments (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). Sam Nichols collaborates with scholars based in United Kingdom. Sam Nichols's co-authors include Frances R. Balkwill, Eleni Maniati, Martin M. Knight, Oliver M.T. Pearce, Roanne R. Jones, Eleanor J. Tyler, Michelle Lockley and Robin M. Delaine‐Smith and has published in prestigious journals such as iScience.

In The Last Decade

Sam Nichols

2 papers receiving 51 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Nichols United Kingdom	2	36	15	12	10	10	2	52
Florian Laforêts United Kingdom	5	28 0.8×	18 1.2×	28 2.3×	4 0.4×	15 1.5×	8	64
Kaitlin Wyllie Australia	4	28 0.8×	13 0.9×	37 3.1×	21 2.1×	2 0.2×	5	84
Adina Hughes United Kingdom	3	39 1.1×	27 1.8×	29 2.4×	9 0.9×	2 0.2×	3	70
Andrea García-Garijo Spain	2	46 1.3×	13 0.9×	29 2.4×	5 0.5×	1 0.1×	3	73
Vittoria Fotia Italy	5	34 0.9×	8 0.5×	21 1.8×	2 0.2×	13 1.3×	8	76
Huiying Sun China	3	17 0.5×	8 0.5×	23 1.9×	11 1.1×		5	61
Jin‐Gyu Cheong South Korea	5	20 0.6×	24 1.6×	47 3.9×	20 2.0×	2 0.2×	8	92
Pamela Whalen United States	5	13 0.4×	17 1.1×	38 3.2×	2 0.2×	3 0.3×	7	64
May Ji United States	4	36 1.0×	17 1.1×	25 2.1×	5 0.5×		4	63
Michael Parappilly United States	4	26 0.7×	9 0.6×	12 1.0×	3 0.3×		9	43

Countries citing papers authored by Sam Nichols

Since Specialization

Citations

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

Fields of papers citing papers by Sam Nichols

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Nichols

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

All Works

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2 of 2 papers shown

1.

Nichols, Sam, Eleni Maniati, Eleanor J. Tyler, et al.. (2021). A human multi-cellular model shows how platelets drive production of diseased extracellular matrix and tissue invasion. iScience. 24(6). 102676–102676. 33 indexed citations

2.

Delaine‐Smith, Robin M., Eleni Maniati, Sam Nichols, et al.. (2021). Modelling TGFβR and Hh pathway regulation of prognostic matrisome molecules in ovarian cancer. iScience. 24(6). 102674–102674. 19 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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