Max Land

514 total citations
8 papers, 212 citations indexed

About

Max Land is a scholar working on Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Max Land has authored 8 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Max Land's work include Single-cell and spatial transcriptomics (5 papers), Molecular Biology Techniques and Applications (3 papers) and Gene expression and cancer classification (2 papers). Max Land is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Molecular Biology Techniques and Applications (3 papers) and Gene expression and cancer classification (2 papers). Max Land collaborates with scholars based in United States, France and Germany. Max Land's co-authors include Ron Zeira, Benjamin J. Raphael, Alexander Strzalkowski, Richard A. Winegar, Matthew L. Fero, William F. Morgan, Rebecca Elyanow, Dana Pe’er, Tal Nawy and Russell Kunes and has published in prestigious journals such as Nature Biotechnology, Molecular and Cellular Biology and Nature Methods.

In The Last Decade

Max Land

7 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Max Land United States	4	193	46	28	26	9	8	212
Shaliu Fu China	10	170 0.9×	48 1.0×	29 1.0×	19 0.7×	15 1.7×	15	228
Thorina Boenke Austria	2	247 1.3×	26 0.6×	26 0.9×	23 0.9×	17 1.9×	2	267
Ron Zeira Israel	7	221 1.1×	82 1.8×	24 0.9×	26 1.0×	12 1.3×	13	241
Meifang Tang China	4	267 1.4×	64 1.4×	71 2.5×	45 1.7×	16 1.8×	5	289
Minghao Fang China	5	278 1.4×	59 1.3×	76 2.7×	46 1.8×	16 1.8×	6	315
Jay S. Stanley United States	4	137 0.7×	20 0.4×	24 0.9×	44 1.7×	11 1.2×	6	175
Ruochen Jiang United States	2	160 0.8×	38 0.8×	14 0.5×	24 0.9×	10 1.1×	3	179
Yinlei Hu China	4	247 1.3×	53 1.2×	60 2.1×	43 1.7×	16 1.8×	6	267
Yuefan Huang United States	7	133 0.7×	23 0.5×	26 0.9×	19 0.7×	12 1.3×	12	191
Yaroslav Lozinsky United States	3	163 0.8×	47 1.0×	34 1.2×	32 1.2×	25 2.8×	5	197

Countries citing papers authored by Max Land

Since Specialization

Citations

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

Fields of papers citing papers by Max Land

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Land

This figure shows the co-authorship network connecting the top 25 collaborators of Max Land. A scholar is included among the top collaborators of Max Land 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 Max Land. Max Land 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.

Brooks, Eric, Bhaswati Bhattacharya, Max Land, et al.. (2025). A single-cell atlas of spatial and temporal gene expression in the mouse cranial neural plate. eLife. 13.

2.

Brooks, Eric, Bhaswati Bhattacharya, Max Land, et al.. (2024). A single-cell atlas of spatial and temporal gene expression in the mouse cranial neural plate. eLife. 13. 2 indexed citations

3.

Kunes, Russell, Thomas Walle, Max Land, Tal Nawy, & Dana Pe’er. (2023). Supervised discovery of interpretable gene programs from single-cell data. Nature Biotechnology. 42(7). 1084–1095. 26 indexed citations

4.

Kunes, Russell, et al.. (2023). Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8405–8412. 1 indexed citations

5.

Zeira, Ron, Max Land, Alexander Strzalkowski, & Benjamin J. Raphael. (2022). Alignment and integration of spatial transcriptomics data. Nature Methods. 19(5). 567–575. 127 indexed citations

6.

Zeira, Ron, Max Land, Alexander Strzalkowski, & Benjamin J. Raphael. (2021). Alignment and Integration of Spatial Transcriptomics Data. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

7.

Elyanow, Rebecca, Ron Zeira, Max Land, & Benjamin J. Raphael. (2020). STARCH: copy number and clone inference from spatial transcriptomics data. Physical Biology. 18(3). 35001–35001. 26 indexed citations

8.

Morgan, William F., Matthew L. Fero, Max Land, & Richard A. Winegar. (1988). Inducible Expression and Cytogenetic Effects of the Eco RI Restriction Endonuclease in Chinese Hamster Ovary Cells. Molecular and Cellular Biology. 8(10). 4204–4211. 29 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.

Explore authors with similar magnitude of impact