H David

3.8k citations
10 papers · 3.3k indexed · 1 hit paper · h-index 9

Impact in

Papers in

H David

10 papers receiving 3.0k citations

Hit Papers

Quantitative Determination of Serum Triglycerides by the Use of Enzymes 1973 · 2.8k citations
2.8k197320261990200850010001.5k2.0k2.5k

Peers

H David
Comparison fields: 5 of 131
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Nutrition and Dietetics 576
  • Biochemistry 224
  • Physiology 549
  • Biochemistry 130
Replace Giovanni Bucolo with:
Giovanni Bucolo United States
M Burstein France
Liese L. Abell United States
L Prencipe Italy
C.M. van Gent Netherlands
P Fossati United States
Robert E. Olson United States
Albert J. Boyle United States
C. L. Kaul India
Marc Conti France
H David relative to Giovanni Bucolo United States Giovanni Bucolo's profile →
Citations per field
00.5×1.5×
Giovanni Bucolo · 1×
Citations per year

Countries citing papers authored by H David

Since Specialization
Citations

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

Fields of papers citing papers by H David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside H David, 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 David Line = papers co-authored together H David links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1988107
2
[Mycobacterium kansasii: drinking water contaminant of a hospital].
198312
3 198217
4 198221
5
Quantitative Determination of Serum Triglycerides by the Use of Enzymes
Hit paper breakdown →
19732829
6 197312
7 196834
8 1968157
9 1967113
10
[PHYSIOLOGIC AND PATHOLOGIC MODIFICATIONS OF THE SUBMICROSCOPIC STRUCTURE OF THE CELL NUCLEUS. 3. THE NUCLEOLUS].
19642

About H David

H David is a scholar working on Biotechnology, Biochemistry, Neurology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 3.3k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (3 papers), Mycobacterium research and diagnosis (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Synthesis and Characterization of Heterocyclic Compounds (1 paper), Click Chemistry and Applications (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Nutrition and Dietetics (576 citations), Biochemistry (224 citations), Physiology (549 citations) and Biochemistry (130 citations). H David has collaborated with scholars based in United States. Frequent co-authors include Giovanni Bucolo, John Carbon, Martin H. Studier, Emily S. Winn-Deen, Ross H. Hall, Gerald F. Sigler, V. Lévy‐Frébault, Tsung-Hsien Chang, Vella A. Silcox and J O Kilburn. Their work appears in journals such as Clinical Chemistry, Science, Biochemistry, PubMed and Applied Microbiology.

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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