I. de G. Mitchell

780 citations
26 papers · 609 · h-index 11

Impact in

Papers in

I. de G. Mitchell

26 papers receiving 557 citations

Peers

I. de G. Mitchell
Comparison fields: 5 of 104
  • Cancer Research 114
  • Endocrinology 39
  • Aging 9
  • Chemical Health and Safety 3
  • Oncology 95
Replace Ha‐Won Jeong with:
Ha‐Won Jeong United States
Michael L. Sikes United States
Kyung-Ae Kim South Korea
Li Zeng China
Ha Na Im South Korea
Yanhua Su China
Amir Feisal Merican Malaysia
Jiyun Yu China
Baohong Liu China
David J. Leaver United States
I. de G. Mitchell relative to Ha‐Won Jeong United States Ha‐Won Jeong's profile →
Citations per field
00.5×1.5×2.3×
Ha‐Won Jeong · 1×
Citations per year

Countries citing papers authored by I. de G. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by I. de G. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. de G. Mitchell. 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 I. de G. Mitchell. The network helps show where I. de G. Mitchell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007191
2 201174
3 199548
4 197643
5 197843
6 199637
7 201322
8 197418
9 197716
10 199714
11 197414
12 197410
13 19819
14 20209
15 19809
16 19947
17 19827
18 19817
19 19896
20 19766

About I. de G. Mitchell

I. de G. Mitchell is a scholar working on Molecular Biology, Cancer Research, Plant Science, Genetics and Endocrinology, having authored 26 papers that have together received 609 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (7 papers), DNA Repair Mechanisms (3 papers), Escherichia coli research studies (3 papers), Genetically Modified Organisms Research (2 papers), Statistical Methods in Clinical Trials (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Cancer Research (114 citations), Endocrinology (39 citations), Aging (9 citations), Chemical Health and Safety (3 citations) and Oncology (95 citations). I. de G. Mitchell has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include R. Kenworthy, Nicholas A. Wright, Simon J. Leedham, Stuart A.C. McDonald, David L. Stoker, Janusz Jankowski, Manuel Rodriguez‐Justo, Rebecca Harrison, Sean Preston and Lydia Gutiérrez-González. Their work appears in journals such as Genetics Research, Inflammation Research, Mutagenesis, Journal of Medical Microbiology and Gastroenterology.

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.

Explore authors with similar magnitude of impact