H.D. Chapman

3.2k citations
38 papers · 2.6k indexed · 2 hit papers · h-index 18

H.D. Chapman

38 papers receiving 2.4k citations

Hit Papers

Milestones in avian coccidiosis r...2751996202620062016100200300400500

Peers

H.D. Chapman
Comparison fields: 5 of 111
  • Animal Science and Zoology 1.2k
  • Small Animals 780
  • Parasitology 191
  • Immunology 562
  • Genetics 675
Replace A.V. Capuco with:
A.V. Capuco United States
Hardy M. Edwards United States
Thomas J. Caperna United States
Avi Shamay Israel
K. Sejrsen Denmark
T.B. McFadden United States
Arlindo A. Moura Brazil
Nabil Halaihel Spain
Christian Looft Germany
B. Biolatti Italy
H.D. Chapman relative to A.V. Capuco United States A.V. Capuco's profile →
Citations per field
00.5×4.7×
A.V. Capuco · 1×
Citations per year

Countries citing papers authored by H.D. Chapman

Since Specialization
Citations

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

Fields of papers citing papers by H.D. Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.D. Chapman. 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 H.D. Chapman. The network helps show where H.D. Chapman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20152
2
Milestones in avian coccidiosis research: A reviewbreakdown →
2014275
3 2014118
4 20143
5 201417
6 2010237
7 200914
8 200710
9 200565
10 2004137
11 200310
12 1998338
13 199811
14
B lymphocytes are essential for the initiation of T cell-mediated autoimmune diabetes: analysis of a new "speed congenic" stock of NOD.Ig mu null mice.breakdown →
1996502
15 19961
16 199461
17 199412
18 199217
19 199225
20 197619

About H.D. Chapman

H.D. Chapman is a scholar working on Animal Science and Zoology, Small Animals, Parasitology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 38 papers that have together received 2.6k indexed citations. Recurring topics across this work include Coccidia and coccidiosis research (30 papers), Animal Nutrition and Physiology (27 papers), Veterinary medicine and infectious diseases (15 papers), Helminth infection and control (9 papers), Bird parasitology and diseases (5 papers), Diabetes and associated disorders (3 papers), Hormonal and reproductive studies (2 papers) and Meat and Animal Product Quality (2 papers). The work is most often cited by research in Animal Science and Zoology (1.2k citations), Small Animals (780 citations), Parasitology (191 citations), Immunology (562 citations) and Genetics (675 citations). H.D. Chapman has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include T. K. Jeffers, David Serreze, R. B. Williams, Edward H. Leiter, Z. B. Johnson, Leonard D. Shultz, Don S. Varnum, Matthew S. Hanson, Sara Fleming and Peter C. Reifsnyder. Their work appears in journals such as Poultry Science, Avian Pathology, Avian Diseases, Veterinary Parasitology and Diabetes.

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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