Julia Mohr

2.8k citations
27 papers · 1.9k indexed · 1 hit paper · h-index 17

Impact in

Papers in

Julia Mohr

26 papers receiving 1.9k citations

Hit Papers

Cancer risk in families with hereditary nonpolyposis colorectal cancer diagnosed by mutation analysis 1996 · 592 citations
5921996202620062016100200300400500

Peers

Julia Mohr
Comparison fields: 5 of 94
  • Pathology and Forensic Medicine 727
  • Genetics 325
  • Cancer Research 356
  • Oncology 533
  • Ophthalmology 127
Replace Yoshihiro Hatta with:
Yoshihiro Hatta Japan
Alexandra Papoudou‐Bai Greece
Angelica A. Saetta Greece
Eugenio Gallo Italy
Grzegorz Kurzawski Poland
Robert L. Redner United States
Michal Abraham Israel
Anne Bordron France
Aliakbar Shahsafaei United States
G Tamura Japan
Julia Mohr relative to Yoshihiro Hatta Japan Yoshihiro Hatta's profile →
Citations per field
00.5×11.5×
Yoshihiro Hatta · 1×
Citations per year

Countries citing papers authored by Julia Mohr

Since Specialization
Citations

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

Fields of papers citing papers by Julia Mohr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202212
3 202019
4 201962
5 201915
6 2017291
7 201716
8
Using Biochar composts for improving sandy vineyard soils while reducing the risk of
20161
9 201424
10 201353
11 20139
12 20136
13 2013206
14 20103
15 2009206
16 200926
17 200818
18
Cancer risk in families with hereditary nonpolyposis colorectal cancer diagnosed by mutation analysis (vol 110, pg 1020, 1996)
199617
19
Cancer risk in families with hereditary nonpolyposis colorectal cancer diagnosed by mutation analysis
Hit paper breakdown →
1996592
20 198724

About Julia Mohr

Julia Mohr is a scholar working on Genetics, Pathology and Forensic Medicine, Ophthalmology, Oncology and Molecular Biology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Cancer-related Molecular Pathways (3 papers), Hereditary Neurological Disorders (2 papers), Retinal Diseases and Treatments (2 papers), Gut microbiota and health (2 papers), Advanced Breast Cancer Therapies (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (727 citations), Genetics (325 citations), Cancer Research (356 citations), Oncology (533 citations) and Ophthalmology (127 citations). Julia Mohr has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include B. G. Taal, JT Wijnen, Liliana Varesco, Hans F. A. Vasen, Lucio Bertario, F. M. Nagengast, Riccardo Fodde, G Griffioen, PM Khan and JH Kleibeuker. Their work appears in journals such as Blood, Biochemical Journal, Gastroenterology, Nutrients and Frontiers in Pediatrics.

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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