Vít Neuman

461 citations
26 papers · 278 · h-index 10

Impact in

Papers in

    • Diabetes Management and Research 9
    • Growth Hormone and Insulin-like Growth Factors 6
    • Diabetes and associated disorders 4
    • Digestive system and related health 1
    • Genetic Syndromes and Imprinting 1

Vít Neuman

22 papers receiving 266 citations

Peers

Vít Neuman
Comparison fields: 5 of 45
  • Endocrinology, Diabetes and Metabolism 160
  • Gastroenterology 17
  • Genetics 84
  • Family Practice 4
  • Applied Microbiology and Biotechnology 4
Replace Catherine F. Enters-Weijnen with:
Catherine F. Enters-Weijnen Netherlands
Raffaella Di Luzio Italy
Lidia Groele Poland
Viorel Șerban Romania
Giada Toni Italy
Lars C. Stene Norway
Gillian Kreugel Netherlands
Naresh Kanumilli United Kingdom
SUBHASH KUMAR WANGNOO India
Abebaw Worede Ethiopia
Vít Neuman relative to Catherine F. Enters-Weijnen Netherlands Catherine F. Enters-Weijnen's profile →
Citations per field
00.5×1.5×2.3×
Catherine F. Enters-Weijnen · 1×
Citations per year

Countries citing papers authored by Vít Neuman

Since Specialization
Citations

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

Fields of papers citing papers by Vít Neuman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vít Neuman, 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 Vít Neuman Line = papers co-authored together Vít Neuman 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 201851
2 199741
3 202131
4 201923
5 202020
6 202319
7 202318
8 202312
9 199912
10 202111
11 20238
12 20238
13 20245
14 20254
15 20224
16 20243
17 20242
18 20242
19 20191
20 20251

About Vít Neuman

Vít Neuman is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Physiology and Surgery, having authored 26 papers that have together received 278 indexed citations. Recurring topics across this work include Diabetes Management and Research (9 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Diabetes and associated disorders (4 papers), Diet and metabolism studies (3 papers), Celiac Disease Research and Management (2 papers), Pancreatic function and diabetes (2 papers), Digestive system and related health (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (160 citations), Gastroenterology (17 citations), Genetics (84 citations), Family Practice (4 citations) and Applied Microbiology and Biotechnology (4 citations). Vít Neuman has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Zdenĕk Šumnı́k, Lenka Petruželková, Barbora Obermannová, Lukáš Plachý, Štěpánka Průhová, Stanislava Koloušková, Jan Šoupal, Štěpánka Průhová, H. Salman and Michael Bergman. Their work appears in journals such as Diabetes Technology & Therapeutics, Frontiers in Endocrinology, Diabetologia, Pediatric Diabetes and Hormone Research in Paediatrics.

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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