Matthew Heidtman

3.0k citations
14 papers · 2.4k indexed · 2 hit papers · h-index 14
Topics
Cellular transport and secretion (5 papers)Legionella and Acanthamoeba research (4 papers)Endoplasmic Reticulum Stress and Disease (4 papers)

In The Last Decade

Matthew Heidtman

14 papers receiving 2.3k citations

Hit Papers

Subcellular localization of the yeast proteome200220262010201820022008100200300400500

Peers

Matthew Heidtman
Comparison fields: 5 of 97
  • Molecular Biology 1.6k
  • Endocrinology 636
  • Immunology 391
  • Cell Biology 349
  • Genetics 220
Replace Mariette Matondo with:
Mariette Matondo France
Elke K. H. Schweda Sweden
Jörg Selzer Germany
Sabrina Liberatori Italy
Rutilio A. Fratti United States
Xiuju Jiang United States
Michael P. Housley United States
Kipros Gabriel Australia
Peter Hoogerhout Netherlands
Christoph von Eichel‐Streiber Germany
Matthew Heidtman relative to Mariette Matondo France Mariette Matondo's profile →
Citations per field
00.5×4.9×
Mariette Matondo · 1×
Citations per year

Countries citing papers authored by Matthew Heidtman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Heidtman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Heidtman

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 26
2 193
3 22
4
The Legionella pneumophila replication vacuole: making a cosy niche inside host cellsbreakdown →
537
5 131
6 76
7 44
8 45
9 23
10 65
11
Subcellular localization of the yeast proteomebreakdown →
597
12 118
13 409
14 85

About Matthew Heidtman

Matthew Heidtman is a scholar working on Endocrinology, Cell Biology and Molecular Medicine, having authored 14 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Legionella and Acanthamoeba research (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Endocrinology (636 citations), Molecular Biology (1.6k citations) and Cell Biology (349 citations). Matthew Heidtman has collaborated with scholars based in United States, Mexico and Denmark. Frequent co-authors include Ralph R. Isberg, Tamara J. O’Connor, M Snyder, Mark Gerstein, Ronald Jansen, Perry L. Miller, Seema Agarwal, G. Shirleen Roeder, Charles Barlowe and Kei-Hoi Cheung. Their work appears in journals such as Nature, The Journal of Experimental Medicine and Genes & Development.

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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