Wenjun Kong

480 total citations
8 papers, 255 citations indexed

About

Wenjun Kong is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Wenjun Kong has authored 8 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cancer Research and 1 paper in Epidemiology. Recurrent topics in Wenjun Kong's work include Single-cell and spatial transcriptomics (5 papers), CRISPR and Genetic Engineering (4 papers) and Pluripotent Stem Cells Research (3 papers). Wenjun Kong is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), CRISPR and Genetic Engineering (4 papers) and Pluripotent Stem Cells Research (3 papers). Wenjun Kong collaborates with scholars based in United States. Wenjun Kong's co-authors include Samantha A. Morris, Kenji Kamimoto, Xue Yang, Chuner Guo, Yuhei Kirita, Guillermo C. Rivera-Gonzalez, Junedh Amrute, Brent A. Biddy, Wei Yang and J. Michael White and has published in prestigious journals such as Nature Protocols, Cell stem cell and Genome biology.

In The Last Decade

Wenjun Kong

7 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenjun Kong United States	6	197	56	40	39	28	8	255
Nguyet Le United States	7	173 0.9×	47 0.8×	34 0.8×	11 0.3×	33 1.2×	14	232
Sarah Waye United States	4	256 1.3×	65 1.2×	24 0.6×	11 0.3×	41 1.5×	4	302
Chuner Guo United States	5	372 1.9×	112 2.0×	34 0.8×	13 0.3×	33 1.2×	8	413
Anna E. Eastman United States	9	161 0.8×	17 0.3×	19 0.5×	31 0.8×	16 0.6×	12	249
Annita Montepeloso Italy	5	162 0.8×	27 0.5×	95 2.4×	86 2.2×	23 0.8×	7	270
Dawei Huo China	12	296 1.5×	47 0.8×	31 0.8×	15 0.4×	37 1.3×	19	356
Victor Olariu Sweden	10	246 1.2×	11 0.2×	34 0.8×	27 0.7×	21 0.8×	19	293
Maurizio Morri United States	8	161 0.8×	27 0.5×	15 0.4×	6 0.2×	28 1.0×	12	252
Jamie McNicol Canada	6	267 1.4×	20 0.4×	15 0.4×	10 0.3×	35 1.3×	8	314
Alexander Waclawiczek Germany	7	91 0.5×	22 0.4×	41 1.0×	64 1.6×	26 0.9×	11	183

Countries citing papers authored by Wenjun Kong

Since Specialization

Citations

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

Fields of papers citing papers by Wenjun Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjun Kong

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

All Works

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8 of 8 papers shown

1.

Rivera-Gonzalez, Guillermo C., Rachel L. Mintz, Wenjun Kong, et al.. (2025). Comparative single-cell lineage tracing identifies distinct adipocyte precursor dynamics in skin and inguinal fat. Cell stem cell. 32(8). 1267–1284.e8.

2.

Kong, Wenjun, Emily M. Holloway, Görkem Garipler, et al.. (2022). Capybara: A computational tool to measure cell identity and fate transitions. Cell stem cell. 29(4). 635–649.e11. 31 indexed citations

3.

Kamimoto, Kenji, Kunal Jindal, Christy M. Hoffmann, et al.. (2022). Gene regulatory network reconfiguration in direct lineage reprogramming. Stem Cell Reports. 18(1). 97–112. 22 indexed citations

4.

Cates, K. Lynn, Matthew J. McCoy, Yangjian Liu, et al.. (2020). Deconstructing Stepwise Fate Conversion of Human Fibroblasts to Neurons by MicroRNAs. Cell stem cell. 28(1). 127–140.e9. 41 indexed citations

5.

Kong, Wenjun, et al.. (2020). CellTagging: combinatorial indexing to simultaneously map lineage and identity at single-cell resolution. Nature Protocols. 15(3). 750–772. 44 indexed citations

6.

Li, Yanan, Wenjun Kong, Wei Yang, et al.. (2020). Single-Cell Analysis of Neonatal HSC Ontogeny Reveals Gradual and Uncoordinated Transcriptional Reprogramming that Begins before Birth. Cell stem cell. 27(5). 732–747.e7. 57 indexed citations

7.

Guo, Chuner, Wenjun Kong, Kenji Kamimoto, et al.. (2019). CellTag Indexing: genetic barcode-based sample multiplexing for single-cell genomics. Genome biology. 20(1). 90–90. 59 indexed citations

8.

McCoy, Matthew J., K. Lynn Cates, Yangjian Liu, et al.. (2019). Deconstructing Stepwise Fate Conversion of Human Fibroblasts to Neurons by MicroRNAs. SSRN Electronic Journal. 1 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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