William Pilcher

565 total citations · 1 hit paper
10 papers, 295 citations indexed

About

William Pilcher is a scholar working on Molecular Biology, Rehabilitation and Hematology. According to data from OpenAlex, William Pilcher has authored 10 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Rehabilitation and 3 papers in Hematology. Recurrent topics in William Pilcher's work include Single-cell and spatial transcriptomics (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and Wound Healing and Treatments (3 papers). William Pilcher is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and Wound Healing and Treatments (3 papers). William Pilcher collaborates with scholars based in United States, United Kingdom and India. William Pilcher's co-authors include Manoj Bhasin, Swati S. Bhasin, Hope Mumme, Debasree Sarkar, Beena Thomas, Aristidis Veves, Antonios Kafanas, Teresa Sandoval-Schaefer, Bhakti Dwivedi and Peng Wang and has published in prestigious journals such as Nature Communications, Blood and Circulation Research.

In The Last Decade

William Pilcher

9 papers receiving 293 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single cell transcriptomic landscape of diabetic foot ulcers

2022 251 citations Georgios Theocharidis, Beena Thomas et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Pilcher United States	6	151	94	93	62	46	10	295
Antonio Lobao United States	3	222 1.5×	118 1.3×	130 1.4×	68 1.1×	72 1.6×	5	371
Yunxian Dong China	10	136 0.9×	53 0.6×	86 0.9×	23 0.4×	27 0.6×	20	300
Julin Xie China	9	135 0.9×	35 0.4×	153 1.6×	26 0.4×	47 1.0×	15	303
Jinfei Fu China	8	55 0.4×	30 0.3×	143 1.5×	80 1.3×	24 0.5×	16	313
Guojun Guo China	8	130 0.9×	34 0.4×	268 2.9×	25 0.4×	130 2.8×	11	472
Remy Vu United States	7	106 0.7×	12 0.1×	102 1.1×	78 1.3×	22 0.5×	8	300
Luosha Gu China	5	164 1.1×	25 0.3×	198 2.1×	17 0.3×	77 1.7×	12	385
Xiao-jie Tan China	2	160 1.1×	25 0.3×	191 2.1×	16 0.3×	74 1.6×	4	328
Hongsen Bi China	6	102 0.7×	22 0.2×	60 0.6×	15 0.2×	49 1.1×	10	250

Countries citing papers authored by William Pilcher

Since Specialization

Citations

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

Fields of papers citing papers by William Pilcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Pilcher

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

All Works

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10 of 10 papers shown

1.

Mumme, Hope, Deborah DeRyckere, Kelly K. Ferguson, et al.. (2025). Longitudinal single-cell analysis reveals treatment-resistant stem and mast cells with potential treatments for pediatric AML. Leukemia. 39(11). 2721–2734.

2.

Pilcher, William, Beena Thomas, Hope Mumme, et al.. (2024). Single-Cell Analysis of Debrided Diabetic Foot Ulcers Reveals Dysregulated Wound Healing Environment in Non-Hispanic Black Patients. Journal of Investigative Dermatology. 145(3). 678–690. 8 indexed citations

3.

Thomas, Beena, William Pilcher, Mauricio Contreras, et al.. (2024). Early Injury Landscape in Vein Harvest by Single-Cell and Spatial Transcriptomics. Circulation Research. 135(1). 110–134. 6 indexed citations

4.

Pilcher, William, et al.. (2024). DFUCare: deep learning platform for diabetic foot ulcer detection, analysis, and monitoring. Frontiers in Endocrinology. 15. 1386613–1386613. 6 indexed citations

5.

Thomas, Beena, William Pilcher, Lori Ponder, et al.. (2023). The Simple prEservatioN of Single cElls method for cryopreservation enables the generation of single-cell immune profiles from whole blood. Frontiers in Immunology. 14. 1271800–1271800. 4 indexed citations

6.

Bhasin, Swati S., Beena Thomas, Ryan J. Summers, et al.. (2023). Pediatric T-cell acute lymphoblastic leukemia blast signature and MRD associated immune environment changes defined by single cell transcriptomics analysis. Scientific Reports. 13(1). 12556–12556. 7 indexed citations

7.

Theocharidis, Georgios, Beena Thomas, Debasree Sarkar, et al.. (2022). Single cell transcriptomic landscape of diabetic foot ulcers. Nature Communications. 13(1). 181–181. 251 indexed citations breakdown →

8.

Pilcher, William, Beena Thomas, Swati S. Bhasin, et al.. (2021). Characterization of T-Cell Exhaustion in Rapid Progressing Multiple Myeloma Using Cross Center Scrna-Seq Study. Blood. 138(Supplement 1). 401–401. 5 indexed citations

9.

Pilcher, William, et al.. (2020). Shape-to-graph mapping method for efficient characterization and classification of complex geometries in biological images. PLoS Computational Biology. 16(9). e1007758–e1007758. 1 indexed citations

10.

Pilcher, William, et al.. (2018). Biomechanics of Endothelial Tubule Formation Differentially Modulated by Cerebral Cavernous Malformation Proteins. iScience. 9. 347–358. 7 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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