Sam Long

47 papers receiving 1.3k citations

Peers

Sam Long
Comparison fields: 5 of 113
  • Small Animals 160
  • Psychiatry and Mental health 310
  • Genetics 155
  • Clinical Biochemistry 92
  • Neurology 105
Replace Daisuke Hasegawa with:
Daisuke Hasegawa Japan
Sigitas Čižinauskas Finland
Gualtiero Gandini Italy
Ákos Pákozdy Austria
Rodrigo Gutierrez‐Quintana United Kingdom
Lara Matiasek United Kingdom
Annette Wessmann United Kingdom
Giunio Bruto Cherubini United Kingdom
Mary O. Smith United States
Stuart A. Schneck United States
Sam Long relative to Daisuke Hasegawa Japan Daisuke Hasegawa's profile →
Citations per field
00.5×2.9×
Daisuke Hasegawa · 1×
Citations per year

Countries citing papers authored by Sam Long

Since Specialization
Citations

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

Fields of papers citing papers by Sam Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sam Long, 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 Sam Long Line = papers co-authored together Sam Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015232
2 2009182
3 2015105
4 199694
5 201566
6 200653
7 200651
8 201539
9 200931
10 199729
11 200624
12 200124
13 201123
14 200923
15 201320
16 201320
17 201120
18 201620
19 201819
20 200318

About Sam Long

Sam Long is a scholar working on Small Animals, Genetics, Psychiatry and Mental health, Neurology and Endocrinology, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Veterinary Orthopedics and Neurology (6 papers), Epilepsy research and treatment (6 papers), Veterinary Oncology Research (5 papers), Semiconductor Quantum Structures and Devices (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Meningioma and schwannoma management (4 papers), Glioma Diagnosis and Treatment (4 papers) and Hedgehog Signaling Pathway Studies (4 papers). The work is most often cited by research in Small Animals (160 citations), Psychiatry and Mental health (310 citations), Genetics (155 citations), Clinical Biochemistry (92 citations) and Neurology (105 citations). Sam Long has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Simon R. Platt, Kaspar Matiasek, Clare Rusbridge, Heidrun Potschka, Luisa De Risio, Veronika M. Stein, Holger A. Volk, Andrea Fischer, Andrea Tipold and Jacques Penderis. Their work appears in journals such as Journal of Veterinary Internal Medicine, BMC Veterinary Research, American Journal of Veterinary Research, Journal of the American Veterinary Medical Association and Frontiers in Veterinary Science.

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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