Z Lojda

1.2k citations
92 papers · 988 · h-index 17

Impact in

Papers in

Z Lojda

82 papers receiving 905 citations

Peers

Z Lojda
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 205
  • Oncology 274
  • Physiology 42
  • Endocrinology, Diabetes and Metabolism 116
  • Cell Biology 108
Replace D. G. Scarpelli with:
D. G. Scarpelli United States
Osamu Sakai Japan
H. Arita Japan
Herbert Schramek Austria
Kunio S. Misono United States
Desmond T. Walsh United Kingdom
Lorin K. Johnson United States
Alejandro Vazquez‐Tello Canada
Louis Ercolani United States
Laurent Baricault France
Z Lojda relative to D. G. Scarpelli United States D. G. Scarpelli's profile →
Citations per field
00.5×
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 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979179
2 198088
3 197054
4
VASCULAR PSEUDOHEMOPHILIA ASSOCIATED WITH CEROID PIGMENTOPHAGIA IN ALBINOS.
196431
5 198529
6
Dipeptidyl peptidase IV in patients with systemic lupus erythematosus.
199229
7
Cytochemistry of enterocytes and of other cells in the mucous membrane of the small intestine.
197426
8 199625
9 198824
10 198924
11
[Current problems in the cytochemistry of lysosomal hydrolases].
197222
12 196322
13 196620
14 199219
15 199318
16 197918
17
[Histochemistry of proteases].
198417
18 199216
19 197415
20 197515

About Z Lojda

Z Lojda is a scholar working on Genetics, Nutrition and Dietetics, Molecular Biology, Surgery and Oncology, having authored 92 papers that have together received 988 indexed citations. Recurring topics across this work include Digestive system and related health (20 papers), Peptidase Inhibition and Analysis (10 papers), Microbial Metabolites in Food Biotechnology (7 papers), Infant Nutrition and Health (6 papers), Enzyme function and inhibition (6 papers), Neuropeptides and Animal Physiology (5 papers), Corneal Surgery and Treatments (5 papers) and Celiac Disease Research and Management (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (205 citations), Oncology (274 citations), Physiology (42 citations), Endocrinology, Diabetes and Metabolism (116 citations) and Cell Biology (108 citations). Z Lojda has collaborated with scholars based in Czechia, Italy and Slovakia. Frequent co-authors include R. Gossrau, P Frič, J Čejková, E Gutmann, V. Hanzlíková, Jitka Čejková, T Zemplenyi, F Heřmanský, A Mitro and M. Elleder. Their work appears in journals such as Histochemistry and Cell Biology, Digestion, Cytopathology, The Journal of Pediatrics and Journal of Hepatology.

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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