Dan Heller

30 papers receiving 759 citations

Peers

Dan Heller
Comparison fields: 5 of 111
  • Animal Science and Zoology 268
  • Health Information Management 42
  • Computer Vision and Pattern Recognition 176
  • Microbiology 44
  • Agronomy and Crop Science 64
Replace Guisheng Wang with:
Guisheng Wang China
Mairead L. Bermingham United Kingdom
Sheng Niu China
Pei‐Yu Lee Taiwan
Grant Daggard Australia
S. Vairamuthu India
Pieter Bonte Belgium
Won‐Il Kim South Korea
Zuoshuang Xiang United States
Xiaonan Zhao China
Dan Heller relative to Guisheng Wang China Guisheng Wang's profile →
Citations per field
00.5×4.6×
Guisheng Wang · 1×
Citations per year

Countries citing papers authored by Dan Heller

Since Specialization
Citations

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

Fields of papers citing papers by Dan Heller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003291
2 200174
3 201048
4 201245
5 198743
6 198137
7 198132
8 201526
9 198124
10 199321
11 199820
12
Levels and role of cytokines in bovine leukemia virus (BLV) infection.
199717
13 202016
14 201416
15 199516
16 201716
17 199615
18 198115
19 199214
20 199311

About Dan Heller

Dan Heller is a scholar working on Animal Science and Zoology, Epidemiology, Molecular Biology, Agronomy and Crop Science and Nutrition and Dietetics, having authored 33 papers that have together received 827 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (7 papers), Animal Virus Infections Studies (6 papers), Virology and Viral Diseases (5 papers), Microbial infections and disease research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Animal Disease Management and Epidemiology (3 papers), Ion Transport and Channel Regulation (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Animal Science and Zoology (268 citations), Health Information Management (42 citations), Computer Vision and Pattern Recognition (176 citations), Microbiology (44 citations) and Agronomy and Crop Science (64 citations). Dan Heller has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Catherine Plaisant, Ben Shneiderman, Richard Mushlin, Jia Li, A. Cahaner, Ben-Ami Peleg, N. Yonash, J. Hillel, Jacob Pitcovski and Hans H. Cheng. Their work appears in journals such as Poultry Science, Eye, Avian Pathology, Advances in experimental medicine and biology and Contact Lens and Anterior Eye.

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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