Brad Nelms

602 total citations
11 papers, 367 citations indexed

About

Brad Nelms is a scholar working on Molecular Biology, Plant Science and Surgery. According to data from OpenAlex, Brad Nelms has authored 11 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Plant Science and 1 paper in Surgery. Recurrent topics in Brad Nelms's work include Chromosomal and Genetic Variations (4 papers), Plant Molecular Biology Research (4 papers) and Single-cell and spatial transcriptomics (3 papers). Brad Nelms is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), Plant Molecular Biology Research (4 papers) and Single-cell and spatial transcriptomics (3 papers). Brad Nelms collaborates with scholars based in United States, China and Mexico. Brad Nelms's co-authors include Virginia Walbot, Michael D. Gershon, Lauren Dong, Gabriel Corfas, Meenakshi Rao, Michael Rutlin, Wayne I. Lencer, J. M. Somers, Stuart H. Orkin and Levi Waldron and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Brad Nelms

8 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brad Nelms United States	5	211	126	76	71	44	11	367
Pierre‐Yves Gougeon Canada	6	203 1.0×	14 0.1×	79 1.0×	36 0.5×	22 0.5×	7	344
Johanna Fitz Austria	5	258 1.2×	96 0.8×	23 0.3×	4 0.1×	72 1.6×	6	393
Annagiusi Gargiulo Italy	9	270 1.3×	9 0.1×	36 0.5×	15 0.2×	85 1.9×	10	414
Olena Kuksenko United States	2	194 0.9×	4 0.0×	129 1.7×	142 2.0×	40 0.9×	3	433
Suzanne Barshow United States	7	119 0.6×	28 0.2×	32 0.4×	3 0.0×	10 0.2×	11	329
Manuela Vargiolu Italy	10	84 0.4×	12 0.1×	61 0.8×	24 0.3×	60 1.4×	13	264
Julie Smith United States	4	301 1.4×	24 0.2×	24 0.3×	3 0.0×	71 1.6×	4	478
René van den Wijngaard Netherlands	9	79 0.4×	12 0.1×	53 0.7×	47 0.7×	9 0.2×	15	470
Kumi Otori Japan	8	188 0.9×	137 1.1×	45 0.6×		22 0.5×	8	392
Di Cui China	7	218 1.0×	43 0.3×	20 0.3×		40 0.9×	10	362

Countries citing papers authored by Brad Nelms

Since Specialization

Citations

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

Fields of papers citing papers by Brad Nelms

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brad Nelms

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

All Works

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11 of 11 papers shown

1.

Nelms, Brad, et al.. (2025). Nanorate sequencing reveals the Arabidopsis somatic mutation landscape. Proceedings of the National Academy of Sciences. 122(48). e2514194122–e2514194122.

2.

Xu, Zhou-Geng, Heng Lian, Ming Yuan, et al.. (2025). FX-Cell: a method for single-cell RNA sequencing on difficult-to-digest and cryopreserved plant samples. Nature Methods. 22(12). 2551–2562.

3.

Scherer, Jessica, Michael Hinczewski, & Brad Nelms. (2025). Quantitative and sensitive sequencing of somatic mutations induced by a maize transposon. Proceedings of the National Academy of Sciences. 122(32). e2426650122–e2426650122.

4.

Zeng, Yibing, J. M. Somers, Zuzana Vejlupkova, et al.. (2024). Potent pollen gene regulation by DNA glycosylases in maize. Nature Communications. 15(1). 8352–8352. 1 indexed citations

5.

Nelms, Brad, et al.. (2023). Single-cell RNA-seq of maize meiocytes and pollen grains. Nature Protocols. 18(11). 3512–3533. 3 indexed citations

6.

Somers, J. M. & Brad Nelms. (2023). The sporophyte-to-gametophyte transition: The haploid generation comes of age. Current Opinion in Plant Biology. 75. 102416–102416. 4 indexed citations

7.

Nelms, Brad & Virginia Walbot. (2022). Gametophyte genome activation occurs at pollen mitosis I in maize. Science. 375(6579). 424–429. 31 indexed citations

8.

Nelms, Brad & Virginia Walbot. (2019). Defining the developmental program leading to meiosis in maize. Science. 364(6435). 52–56. 150 indexed citations

9.

Nelms, Brad, et al.. (2017). A targeted RNAi screen identifies factors affecting diverse stages of receptor-mediated transcytosis. The Journal of Cell Biology. 216(2). 511–525. 18 indexed citations

10.

Nelms, Brad, Levi Waldron, Luis Barrera, et al.. (2016). CellMapper: rapid and accurate inference of gene expression in difficult-to-isolate cell types. Genome biology. 17(1). 201–201. 15 indexed citations

11.

Rao, Meenakshi, Brad Nelms, Lauren Dong, et al.. (2015). Enteric glia express proteolipid protein 1 and are a transcriptionally unique population of glia in the mammalian nervous system. Glia. 63(11). 2040–2057. 145 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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