Mark Hiner

9.2k total citations · 2 hit papers
17 papers, 6.5k citations indexed

About

Mark Hiner is a scholar working on Biophysics, Molecular Biology and Media Technology. According to data from OpenAlex, Mark Hiner has authored 17 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biophysics, 7 papers in Molecular Biology and 4 papers in Media Technology. Recurrent topics in Mark Hiner's work include Cell Image Analysis Techniques (9 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers) and Image Processing Techniques and Applications (4 papers). Mark Hiner is often cited by papers focused on Cell Image Analysis Techniques (9 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers) and Image Processing Techniques and Applications (4 papers). Mark Hiner collaborates with scholars based in United States, Switzerland and France. Mark Hiner's co-authors include Curtis Rueden, Kevin W. Eliceiri, Johannes Schindelin, Ellen T. Arena, Barry E. DeZonia, Ming Yuan, Shulei Wang, Jenu V. Chacko, Paul R. Barber and Md Abdul Kader Sagar and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Mark Hiner

16 papers receiving 6.4k 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.

ImageJ2: ImageJ for the next generation of scientific image data

2017 4.4k citations Curtis Rueden, Johannes Schindelin et al. BMC Bioinformatics profile →
The ImageJ ecosystem: An open platform for biomedical image analysis

2015 1.9k citations Johannes Schindelin, Curtis Rueden et al. Molecular Reproduction and Development profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Hiner United States	8	2.1k	731	710	527	511	17	6.5k
Ellen T. Arena France	16	1.6k 0.8×	512 0.7×	500 0.7×	385 0.7×	329 0.6×	22	5.1k
Barry E. DeZonia United States	4	1.4k 0.7×	489 0.7×	495 0.7×	346 0.7×	262 0.5×	5	4.7k
Bruno M. Humbel Netherlands	43	2.8k 1.3×	390 0.5×	780 1.1×	845 1.6×	491 1.0×	123	5.7k
Paul Walther Germany	47	3.6k 1.7×	1.3k 1.8×	452 0.6×	1.1k 2.1×	264 0.5×	256	9.9k
Sunanda J. Ram United States	16	2.9k 1.4×	852 1.2×	1.5k 2.1×	685 1.3×	328 0.6×	27	10.9k
Werner Baumgärtner Germany	41	1.8k 0.9×	1.2k 1.6×	192 0.3×	736 1.4×	421 0.8×	154	6.3k
Laura Marchetti Italy	21	2.7k 1.3×	2.0k 2.7×	787 1.1×	322 0.6×	298 0.6×	59	11.2k
John S. Kuo United States	54	2.1k 1.0×	1.0k 1.4×	1.2k 1.7×	275 0.5×	96 0.2×	199	8.2k
Jan M. Skotheim United States	41	4.4k 2.1×	779 1.1×	1.0k 1.4×	1.0k 2.0×	242 0.5×	78	7.2k
Michael Mildner Austria	43	2.9k 1.4×	1.2k 1.7×	559 0.8×	721 1.4×	89 0.2×	162	11.6k

Countries citing papers authored by Mark Hiner

Since Specialization

Citations

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

Fields of papers citing papers by Mark Hiner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Hiner

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Hiner. A scholar is included among the top collaborators of Mark Hiner 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 Mark Hiner. Mark Hiner 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:

17 of 17 papers shown

Muluhngwi, Penn, et al.. (2025). DonorCheck: A quality control tool to validate the interpretation and data entry of HLA typing results used for organ allocation. Human Immunology. 86(3). 111292–111292.

Weisbart, Erin, Barbara Diaz‐Rohrer, David R. Stirling, et al.. (2023). CellProfiler plugins – An easy image analysis platform integration for containers and Python tools. Journal of Microscopy. 296(3). 227–234. 10 indexed citations

Rueden, Curtis, Edward A. Evans, Mark Hiner, et al.. (2021). New Extensibility Tools for Scripting in ImageJ. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Doube, Michael, et al.. (2021). bonej-org/BoneJ2: styloid-r11. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Rueden, Curtis, et al.. (2021). New Extensibility and Scripting Tools in the ImageJ Ecosystem. Current Protocols. 1(8). e204–e204. 6 indexed citations

Barber, Paul R., Jenu V. Chacko, Md Abdul Kader Sagar, et al.. (2020). FLIMJ: An open-source ImageJ toolkit for fluorescence lifetime image data analysis. PLoS ONE. 15(12). e0238327–e0238327. 29 indexed citations

Arganda‐Carreras, Ignacio, Curtis Rueden, Johannes Schindelin, et al.. (2018). fiji/Trainable_Segmentation: Trainable_Segmentation-3.2.27. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Rueden, Curtis, Johannes Schindelin, Mark Hiner, et al.. (2017). ImageJ2: ImageJ for the next generation of scientific image data. BMC Bioinformatics. 18(1). 529–529. 4355 indexed citations breakdown →

Rueden, Curtis, Mark Hiner, & Kevin W. Eliceiri. (2016). ImageJ: Image Analysis Interoperability for the Next Generation of Biological Image Data. Microscopy and Microanalysis. 22(S3). 2066–2067. 4 indexed citations

10.

Hiner, Mark, Curtis Rueden, & Kevin W. Eliceiri. (2016). SCIFIO: an extensible framework to support scientific image formats. BMC Bioinformatics. 17(1). 521–521. 16 indexed citations

11.

Schindelin, Johannes, et al.. (2016). CorrectBleach: upgrade with Exponential fitting method. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations

12.

Hiner, Mark, et al.. (2016). tferr/Scripts: BAR 1.1.11. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

13.

Hiner, Mark, Curtis Rueden, & Kevin W. Eliceiri. (2016). ImageJ-MATLAB: a bidirectional framework for scientific image analysis interoperability. Bioinformatics. 33(4). 629–630. 17 indexed citations

14.

Arena, Ellen T., Curtis Rueden, Mark Hiner, et al.. (2016). Quantitating the cell: turning images into numbers with ImageJ. Wiley Interdisciplinary Reviews Developmental Biology. 6(2). 114 indexed citations

15.

Schindelin, Johannes, Curtis Rueden, Mark Hiner, & Kevin W. Eliceiri. (2015). The ImageJ ecosystem: An open platform for biomedical image analysis. Molecular Reproduction and Development. 82(7-8). 518–529. 1928 indexed citations breakdown →

16.

Miura, Kota, Curtis Rueden, Mark Hiner, Johannes Schindelin, & Jens Rietdorf. (2014). ImageJ Plugin CorrectBleach V2.0.2. Zenodo (CERN European Organization for Nuclear Research). 12 indexed citations

17.

Hiner, Mark. (1985). Paper Engineering for Pop-Up Books and Cards. Medical Entomology and Zoology. 2 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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