Theo Hagg

7.2k citations
113 papers · 6.0k · h-index 45

Impact in

Papers in

Theo Hagg

110 papers receiving 5.8k citations

Peers

Theo Hagg
Comparison fields: 5 of 113
  • Developmental Neuroscience 2.2k
  • Cellular and Molecular Neuroscience 3.4k
  • Neurology 796
  • Pathology and Forensic Medicine 969
  • Neurology 606
Replace Manuel Nieto‐Sampedro with:
Manuel Nieto‐Sampedro Spain
Christine E. Bandtlow Switzerland
Scott R. Whittemore United States
Roman J. Giger United States
Arthur M. Butt United Kingdom
Stephen P.J. Fancy United States
Chao Zhao United Kingdom
Isabelle Dusart France
Graham P. Wilkin United Kingdom
Bettina Holtmann Germany
Theo Hagg relative to Manuel Nieto‐Sampedro Spain Manuel Nieto‐Sampedro's profile →
Citations per field
00.5×1.6×
Manuel Nieto‐Sampedro · 1×
Citations per year

Countries citing papers authored by Theo Hagg

Since Specialization
Citations

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

Fields of papers citing papers by Theo Hagg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Theo Hagg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Theo Hagg Line = papers co-authored together Theo Hagg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006283
2 2004219
3 1988218
4 1993210
5 1992201
6 1989179
7 1996177
8 2005175
9 1992156
10 2004145
11 2003135
12 1999130
13 2008128
14 1989116
15 1990116
16 2006109
17 1994101
18 2007100
19 2007100
20 1992100

About Theo Hagg

Theo Hagg is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Pathology and Forensic Medicine and Neurology, having authored 113 papers that have together received 6.0k indexed citations. Recurring topics across this work include Nerve injury and regeneration (58 papers), Neurogenesis and neuroplasticity mechanisms (53 papers), Spinal Cord Injury Research (24 papers), Axon Guidance and Neuronal Signaling (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Neuropeptides and Animal Physiology (10 papers), Cell Adhesion Molecules Research (9 papers) and Aortic Disease and Treatment Approaches (8 papers). The work is most often cited by research in Developmental Neuroscience (2.2k citations), Cellular and Molecular Neuroscience (3.4k citations), Neurology (796 citations), Pathology and Forensic Medicine (969 citations) and Neurology (606 citations). Theo Hagg has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Silvio Varon, Martin Oudega, Marston Manthorpe, K. Adam Baker, H. Lee Vahlsing, Peng Yang, Scott R. Whittemore, H.A. Robertson, Matthew P. Keasey and Nicole L. Ward. Their work appears in journals such as Experimental Neurology, The Journal of Comparative Neurology, Brain Research, Journal of Neurotrauma and Neuroscience.

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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