Welles Robinson

635 total citations
8 papers, 61 citations indexed

About

Welles Robinson is a scholar working on Molecular Biology, Ecology and Cancer Research. According to data from OpenAlex, Welles Robinson has authored 8 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Cancer Research. Recurrent topics in Welles Robinson's work include Cancer Genomics and Diagnostics (3 papers), Gut microbiota and health (3 papers) and Microbial Community Ecology and Physiology (2 papers). Welles Robinson is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Gut microbiota and health (3 papers) and Microbial Community Ecology and Physiology (2 papers). Welles Robinson collaborates with scholars based in United States, Israel and South Korea. Welles Robinson's co-authors include Mark D.M. Leiserson, Roded Sharan, Teresa M. Przytycka, Damian Wójtowicz, Eytan Ruppin, Yoo-Ah Kim, Dorit S. Hochbaum, Alejandro A. Schäffer, Sridhar Hannenhalli and E. Michael Gertz and has published in prestigious journals such as Nature Communications, Bioinformatics and Cancer Research.

In The Last Decade

Welles Robinson

7 papers receiving 61 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Welles Robinson United States	6	39	29	12	11	8	8	61
Eunjung A. Lee United States	4	43 1.1×	26 0.9×	8 0.7×	18 1.6×	18 2.3×	4	78
Barbara C. Jones United States	4	23 0.6×	21 0.7×	6 0.5×	11 1.0×	8 1.0×	4	52
Andrew Dei Rossi Switzerland	3	54 1.4×	45 1.6×	4 0.3×	12 1.1×	13 1.6×	5	76
Giacomo Milletti Italy	5	60 1.5×	16 0.6×	5 0.4×	11 1.0×	13 1.6×	5	85
Alexis Jiaying Khng Singapore	6	49 1.3×	19 0.7×	10 0.8×	20 1.8×	25 3.1×	13	85
Zhenhong Zhao China	4	46 1.2×	27 0.9×	7 0.6×	3 0.3×	14 1.8×	5	68
Natalya Dyakova United States	3	49 1.3×	12 0.4×	5 0.4×	9 0.8×	17 2.1×	8	71
Alex Hastie United States	5	34 0.9×	20 0.7×	5 0.4×	22 2.0×	6 0.8×	13	63
Seunghun Han Saudi Arabia	2	19 0.5×	19 0.7×	9 0.8×	16 1.5×	14 1.8×	3	52
Gal Dinstag Israel	4	37 0.9×	28 1.0×	4 0.3×	7 0.6×	13 1.6×	11	59

Countries citing papers authored by Welles Robinson

Since Specialization

Citations

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

Fields of papers citing papers by Welles Robinson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Welles Robinson

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Robinson, Welles, Joshua K. Stone, Fiorella Schischlik, et al.. (2024). Identification of intracellular bacteria from multiple single-cell RNA-seq platforms using CSI-Microbes. Science Advances. 10(27). eadj7402–eadj7402. 10 indexed citations

2.

Schäffer, Alejandro A., Welles Robinson, Junyan Xu, et al.. (2022). Strain level microbial detection and quantification with applications to single cell metagenomics. Nature Communications. 13(1). 6430–6430. 7 indexed citations

3.

Robinson, Welles, Fiorella Schischlik, E. Michael Gertz, et al.. (2022). Abstract 3048: CSI-Microbes: Identifying cell-type specific intracellular microbes from single-cell RNA-seq data. Cancer Research. 82(12_Supplement). 3048–3048.

4.

Robinson, Welles, Fiorella Schischlik, E. Michael Gertz, Alejandro A. Schäffer, & Eytan Ruppin. (2021). Abstract PO093: Identifying the landscape of intratumoral microbes via a single cell transcriptomic analysis. Cancer Immunology Research. 9(2_Supplement). PO093–PO093. 1 indexed citations

5.

Kim, Yoo-Ah, Damian Wójtowicz, Welles Robinson, et al.. (2020). Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer. Genome Medicine. 12(1). 52–52. 18 indexed citations

6.

Wójtowicz, Damian, et al.. (2020). A Sticky Multinomial Mixture Model of Strand-Coordinated Mutational Processes in Cancer. iScience. 23(3). 100900–100900. 5 indexed citations

7.

Robinson, Welles, Roded Sharan, & Mark D.M. Leiserson. (2019). Modeling clinical and molecular covariates of mutational process activity in cancer. Bioinformatics. 35(14). i492–i500. 11 indexed citations

8.

Nair, Nishanth Ulhas, Avinash Das, Uri Amit, et al.. (2018). Putative functional genes in idiopathic dilated cardiomyopathy. Scientific Reports. 8(1). 66–66. 9 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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