Gordon Guroff

9.0k citations
174 papers · 7.4k indexed · 1 hit paper · h-index 47

Impact in

Papers in

Gordon Guroff

174 papers receiving 7.0k citations

Hit Papers

Hydroxylation-Induced Migration: The NIH Shift 1967 · 384 citations
3841967202619862006100200300

Peers

Gordon Guroff
Comparison fields: 5 of 128
  • Cellular and Molecular Neuroscience 2.8k
  • Developmental Neuroscience 377
  • Clinical Biochemistry 562
  • Biochemistry 593
  • Cell Biology 1.2k
Replace Jan Albrecht with:
Jan Albrecht Poland
Pierre Morell United States
Glyn Dawson United States
Maria Ankarcrona Sweden
Peter Teismann Germany
Ángeles Almeida Spain
Kuo‐Ping Huang United States
Noel Y. Calingasan United States
Michael T. Lin United States
Georg Reiser Germany
Gordon Guroff relative to Jan Albrecht Poland Jan Albrecht's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gordon Guroff

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Guroff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200013
2 200030
3 199936
4 199724
5 19966
6 199631
7 199511
8 19943
9 19929
10 199216
11 19917
12 199135
13 199029
14 199026
15 1989263
16 198916
17 198961
18
Nerve growth factor-sensitive S6 kinase in cell-free extracts from PC12 cells
19861
19
Growth and maturation factors
1983228
20 19754

About Gordon Guroff

Gordon Guroff is a scholar working on Clinical Biochemistry, Cellular and Molecular Neuroscience, Biochemistry, Molecular Biology and Pharmaceutical Science, having authored 174 papers that have together received 7.4k indexed citations. Recurring topics across this work include Nerve injury and regeneration (40 papers), Metabolism and Genetic Disorders (21 papers), Polyamine Metabolism and Applications (20 papers), Biochemical effects in animals (15 papers), Amino Acid Enzymes and Metabolism (15 papers), Cancer, Hypoxia, and Metabolism (15 papers), Biochemical and Molecular Research (10 papers) and Toxin Mechanisms and Immunotoxins (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.8k citations), Developmental Neuroscience (377 citations), Clinical Biochemistry (562 citations), Biochemistry (593 citations) and Cell Biology (1.2k citations). Gordon Guroff has collaborated with scholars based in United States, Hungary and Cameroon. Frequent co-authors include Sidney Udenfriend, Philip Lazarovici, Geneva Dickens, John W. Daly, Kanna Fujita, Tokiko Hama, Shinichi Koizumi, Akifumi Togari, Y Matsuda and D End. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neurochemistry, Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics and Proceedings of the National Academy of Sciences.

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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