Z Lojda

1.2k citations
82 papers · 1.0k · h-index 17

Impact in

Papers in

Z Lojda

70 papers receiving 907 citations

Peers

Z Lojda
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 197
  • Oncology 270
  • Physiology 39
  • Endocrinology, Diabetes and Metabolism 110
  • Cell Biology 108
Replace D. G. Scarpelli with:
D. G. Scarpelli United States
L Chao United States
Taishin Takuma Japan
Harumasa Arita Japan
Herbert Schramek Austria
Yueming Qian United States
Osamu Sakai Japan
Lorin K. Johnson United States
Peter K.W. Harris United States
Chiseko Noda Japan
Z Lojda relative to D. G. Scarpelli United States D. G. Scarpelli's profile →
Citations per field
00.5×2×2.8×
D. G. Scarpelli · 1×
Citations per year

Countries citing papers authored by Z Lojda

Since Specialization
Citations

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

Fields of papers citing papers by Z Lojda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979182
2 198091
3 197055
4
VASCULAR PSEUDOHEMOPHILIA ASSOCIATED WITH CEROID PIGMENTOPHAGIA IN ALBINOS.
196435
5
Dipeptidyl peptidase IV in patients with systemic lupus erythematosus.
199231
6
Cytochemistry of enterocytes and of other cells in the mucous membrane of the small intestine.
197429
7 198529
8 199626
9 196325
10 198924
11 198824
12 196623
13
[Current problems in the cytochemistry of lysosomal hydrolases].
197221
14 199220
15 197919
16
[Histochemistry of proteases].
198418
17 199318
18 198817
19 197516
20 199216

About Z Lojda

Z Lojda is a scholar working on Nutrition and Dietetics, Genetics, Oncology, Gastroenterology and Endocrinology, Diabetes and Metabolism, having authored 82 papers that have together received 1.0k indexed citations. Recurring topics across this work include Digestive system and related health (15 papers), Peptidase Inhibition and Analysis (10 papers), Microbial Metabolites in Food Biotechnology (7 papers), Ocular Surface and Contact Lens (6 papers), Enzyme function and inhibition (6 papers), Adipose Tissue and Metabolism (5 papers), Corneal Surgery and Treatments (5 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (197 citations), Oncology (270 citations), Physiology (39 citations), Endocrinology, Diabetes and Metabolism (110 citations) and Cell Biology (108 citations). Z Lojda has collaborated with scholars based in Czechia, Italy and Germany. Frequent co-authors include R. Gossrau, Jitka Cejkova, Premysl Fric, ERNEST GUTMANN, Věra Hanzlíková, T Zemplenyi, Jitka Čejková, F Heřmanský, Alexander E. Mitro and M. Elleder. Their work appears in journals such as Histochemistry and Cell Biology, Digestion, Acta Histochemica, Neuroscience and Clinica Chimica Acta.

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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