Cody N. Heiser

1.8k total citations · 1 hit paper
13 papers, 241 citations indexed

About

Cody N. Heiser is a scholar working on Molecular Biology, Biophysics and Oncology. According to data from OpenAlex, Cody N. Heiser has authored 13 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Biophysics and 4 papers in Oncology. Recurrent topics in Cody N. Heiser's work include Single-cell and spatial transcriptomics (10 papers), Cell Image Analysis Techniques (7 papers) and Gut microbiota and health (2 papers). Cody N. Heiser is often cited by papers focused on Single-cell and spatial transcriptomics (10 papers), Cell Image Analysis Techniques (7 papers) and Gut microbiota and health (2 papers). Cody N. Heiser collaborates with scholars based in United States. Cody N. Heiser's co-authors include Ken S. Lau, Jia‐Ren Lin, Shannon Coy, Clarence Yapp, Madison Tyler, Yu‐An Chen, Sandro Santagata, Shu Wang, Peter K. Sorger and Maulik K. Nariya and has published in prestigious journals such as Cell, Bioinformatics and Cancer Research.

In The Last Decade

Cody N. Heiser

12 papers receiving 239 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.

Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer

2023 126 citations Jia‐Ren Lin, Shu Wang et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cody N. Heiser United States	7	143	68	60	45	39	13	241
Matthew Amodio United States	5	199 1.4×	67 1.0×	30 0.5×	40 0.9×	58 1.5×	12	268
Madison Tyler United States	4	107 0.7×	27 0.4×	60 1.0×	40 0.9×	38 1.0×	4	176
Tze Heng Tan Germany	4	75 0.5×	81 1.2×	134 2.2×	72 1.6×	30 0.8×	6	265
Minh Tran Australia	6	222 1.6×	40 0.6×	30 0.5×	44 1.0×	61 1.6×	10	286
Danni Luo China	5	197 1.4×	33 0.5×	31 0.5×	44 1.0×	74 1.9×	9	322
Eva Bozsaky Austria	10	81 0.6×	49 0.7×	38 0.6×	18 0.4×	33 0.8×	18	292
Ashley Kiemen United States	9	98 0.7×	51 0.8×	87 1.4×	30 0.7×	39 1.0×	23	270
Loredana Martignetti France	7	239 1.7×	23 0.3×	36 0.6×	30 0.7×	54 1.4×	17	295
Sathya Muralidhar United Kingdom	7	111 0.8×	16 0.2×	125 2.1×	104 2.3×	39 1.0×	8	292
Alex Baranski United States	3	153 1.1×	44 0.6×	41 0.7×	112 2.5×	37 0.9×	5	249

Countries citing papers authored by Cody N. Heiser

Since Specialization

Citations

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

Fields of papers citing papers by Cody N. Heiser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cody N. Heiser. 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 Cody N. Heiser. The network helps show where Cody N. Heiser may publish in the future.

Co-authorship network of co-authors of Cody N. Heiser

This figure shows the co-authorship network connecting the top 25 collaborators of Cody N. Heiser. A scholar is included among the top collaborators of Cody N. Heiser 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 Cody N. Heiser. Cody N. Heiser 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.

Heiser, Cody N., Hua Ding, Alan J. Simmons, et al.. (2025). Multiomic spatial atlas shows deleted in malignant brain tumors 1 (DMBT1) glycoprotein is lost in colonic dysplasia. The Journal of Pathology. 266(1). 51–65. 1 indexed citations

2.

Heiser, Cody N., Eliot T. McKinley, Lissa Ventura‐Antunes, et al.. (2024). Consensus tissue domain detection in spatial omics data using multiplex image labeling with regional morphology (MILWRM). Communications Biology. 7(1). 1295–1295. 1 indexed citations

3.

Heiser, Cody N., Eliot T. McKinley, Joseph T. Roland, et al.. (2024). GammaGateR: semi-automated marker gating for single-cell multiplexed imaging. Bioinformatics. 40(6). 1 indexed citations

4.

Heiser, Cody N., Shaoguang Wu, Hua Ding, et al.. (2024). Abstract 6693: Deleted in malignant brain tumors 1 (DMBT1) glycoprotein is lost in colonic dysplasia. Cancer Research. 84(6_Supplement). 6693–6693.

5.

Chen, Zhengyi, Alan J. Simmons, Cody N. Heiser, et al.. (2023). A contamination focused approach for optimizing the single-cell RNA-seq experiment. iScience. 26(7). 107242–107242. 6 indexed citations

6.

Lin, Jia‐Ren, Shu Wang, Shannon Coy, et al.. (2023). Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer. Cell. 186(2). 363–381.e19. 126 indexed citations breakdown →

7.

McKinley, Eliot T., Cody N. Heiser, Joseph T. Roland, et al.. (2022). MIRIAM: A machine and deep learning single‐cell segmentation and quantification pipeline for multi‐dimensional tissue images. Cytometry Part A. 101(6). 521–528. 18 indexed citations

8.

Heiser, Cody N., et al.. (2021). Influence of social determinants of health and county vaccination rates on machine learning models to predict COVID-19 case growth in Tennessee. BMJ Health & Care Informatics. 28(1). e100439–e100439. 7 indexed citations

9.

Heiser, Cody N., et al.. (2021). Automated quality control and cell identification of droplet-based single-cell data using dropkick. Genome Research. 31(10). 1742–1752. 23 indexed citations

10.

Bao, Shunxing, Yucheng Tang, Cody N. Heiser, et al.. (2021). A cross-platform informatics system for the Gut Cell Atlas: integrating clinical, anatomical and histological data. PubMed. 11601. 5–5. 7 indexed citations

11.

Chen, Bob, Marisol Ramirez‐Solano, Cody N. Heiser, Qi Liu, & Ken S. Lau. (2021). Processing single-cell RNA-seq data for dimension reduction-based analyses using open-source tools. STAR Protocols. 2(2). 100450–100450. 6 indexed citations

12.

Heiser, Cody N. & Ken S. Lau. (2020). A Quantitative Framework for Evaluating Single-Cell Data Structure Preservation by Dimensionality Reduction Techniques. Cell Reports. 31(5). 107576–107576. 36 indexed citations

13.

Heiser, Cody N., Bob Chen, Alan J. Simmons, et al.. (2020). Coregulator Sin3a Promotes Postnatal Murine β-Cell Fitness by Regulating Genes in Ca2+ Homeostasis, Cell Survival, Vesicle Biosynthesis, Glucose Metabolism, and Stress Response. Diabetes. 69(6). 1219–1231. 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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