Daniel I. Speiser

41 papers receiving 995 citations

Peers

Daniel I. Speiser
Comparison fields: 5 of 106
  • Paleontology 130
  • Cellular and Molecular Neuroscience 282
  • Ecology, Evolution, Behavior and Systematics 294
  • Oceanography 149
  • Ecology 219
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Shin Tochinai Japan
Gregor Bucher Germany
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Citations per year

Countries citing papers authored by Daniel I. Speiser

Since Specialization
Citations

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

Fields of papers citing papers by Daniel I. Speiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201692
2 201569
3 201166
4 201463
5 201657
6 201553
7 201150
8 202045
9 200845
10 201744
11 199343
12 201341
13 201432
14 201529
15 201125
16
Heterogeneity of HLA-B35. Oligotyping and direct sequencing for B35 subtypes reveals a high mismatching rate in B35 serologically compatible kidney and bone marrow donor/recipient pairs.
199525
17 201322
18 200821
19
Histoincompatibilities in ABDR-matched unrelated donor recipient combinations.
199521
20 201318

About Daniel I. Speiser

Daniel I. Speiser is a scholar working on Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience, Ecology, Oceanography and Molecular Biology, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cephalopods and Marine Biology (17 papers), Neurobiology and Insect Physiology Research (12 papers), Coral and Marine Ecosystems Studies (7 papers), Marine Biology and Ecology Research (6 papers), Photoreceptor and optogenetics research (6 papers), T-cell and B-cell Immunology (5 papers), Retinal Development and Disorders (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Paleontology (130 citations), Cellular and Molecular Neuroscience (282 citations), Ecology, Evolution, Behavior and Systematics (294 citations), Oceanography (149 citations) and Ecology (219 citations). Daniel I. Speiser has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Sönke Johnsen, Todd H. Oakley, M. Sabrina Pankey, M. Desmond Ramirez, Douglas J. Eernisse, Daniel G. DeMartini, Eddy Roosnek, Megan L. Porter, Christine Ortiz and Carmel McDougall. Their work appears in journals such as Journal of Experimental Biology, Integrative and Comparative Biology, PLoS ONE, Current Biology and Genome Biology and Evolution.

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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