Daniel J. Hryb

1.7k citations
23 papers · 1.4k · h-index 18

Impact in

Papers in

Daniel J. Hryb

23 papers receiving 1.4k citations

Peers

Daniel J. Hryb
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 706
  • Reproductive Medicine 255
  • Behavioral Neuroscience 58
  • Genetics 313
  • Clinical Biochemistry 62
Replace Fernand Labrie with:
Fernand Labrie Canada
C. Benassayag France
Barbara A. Murry United States
Douglas M. Stocco United States
Karen H. Hales United States
Arnold J. Eisenfeld United States
Marinella Rosselli Switzerland
Hellevi Peltoketo Finland
Shihadeh N. Nayfeh United States
Youngah Jo United States
Daniel J. Hryb relative to Fernand Labrie Canada Fernand Labrie's profile →
Citations per field
00.5×3.3×
Fernand Labrie · 1×
Citations per year

Countries citing papers authored by Daniel J. Hryb

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Hryb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Hryb. 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 Daniel J. Hryb. The network helps show where Daniel J. Hryb may publish in the future.

Co-authors

The 21 scholars most cited alongside Daniel J. Hryb, 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 Daniel J. Hryb Line = papers co-authored together Daniel J. Hryb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990157
2 1999151
3 1979139
4 2009136
5 1985129
6 1989102
7 198686
8 199177
9 199963
10 200259
11 199251
12 199548
13 199046
14 199142
15 199835
16 198828
17 200819
18 200918
19 198117
20 19835

About Daniel J. Hryb

Daniel J. Hryb is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Reproductive Medicine, Pulmonary and Respiratory Medicine and Physiology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (17 papers), Hypothalamic control of reproductive hormones (7 papers), Prostate Cancer Treatment and Research (6 papers), Receptor Mechanisms and Signaling (4 papers), Sexual Differentiation and Disorders (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Pharmacological Effects and Assays (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (706 citations), Reproductive Medicine (255 citations), Behavioral Neuroscience (58 citations), Genetics (313 citations) and Clinical Biochemistry (62 citations). Daniel J. Hryb has collaborated with scholars based in United States. Frequent co-authors include William Rosner, Muzammil Khan, Nicholas A. Romas, Atif M. Nakhla, James F. Hogg, Scott M. Kahn, James Leonard, Mohd Wajid Ali Khan, George A. Hashim and Nomi C. Levy‐Carrick. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Steroid Biochemistry and Molecular Biology, Biochemical and Biophysical Research Communications, Steroids and BMC Molecular Biology.

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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