Howard James

456 total citations
10 papers, 374 citations indexed

About

Howard James is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Howard James has authored 10 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Cell Biology and 2 papers in Molecular Biology. Recurrent topics in Howard James's work include Biochemical effects in animals (2 papers), Muscle metabolism and nutrition (2 papers) and Exercise and Physiological Responses (2 papers). Howard James is often cited by papers focused on Biochemical effects in animals (2 papers), Muscle metabolism and nutrition (2 papers) and Exercise and Physiological Responses (2 papers). Howard James collaborates with scholars based in United States and Switzerland. Howard James's co-authors include Josef E. Fischer, Cheng‐Hui Fang, Per-Olof Hasselgren, Per‐Olof Hasselgren, J. E. Fischer, Greg Tiao, Josef E. Fischer, Jan Alexander, Laura Edwards and J. D. Stinnett and has published in prestigious journals such as The Journal of Immunology, Annals of Surgery and Metabolism.

In The Last Decade

Howard James

9 papers receiving 362 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Howard James United States	8	178	114	91	76	74	10	374
Gina Deiter United States	15	183 1.0×	79 0.7×	45 0.5×	52 0.7×	20 0.3×	19	428
Anastasia Thoma United Kingdom	6	169 0.9×	44 0.4×	54 0.6×	104 1.4×	42 0.6×	7	316
Kiran Patil United States	12	294 1.7×	34 0.3×	47 0.5×	23 0.3×	6 0.1×	16	420
Luiz F. Garcia‐Souza Austria	6	201 1.1×	26 0.2×	77 0.8×	85 1.1×	14 0.2×	10	376
Yoshio Yamaoka Japan	8	174 1.0×	38 0.3×	56 0.6×	48 0.6×	5 0.1×	8	392
Chun‐Yu Niu China	10	78 0.4×	45 0.4×	52 0.6×	49 0.6×	4 0.1×	79	381
Lucas Ferrer United States	9	192 1.1×	23 0.2×	31 0.3×	35 0.5×	12 0.2×	13	320
Ermina Bach Denmark	9	94 0.5×	53 0.5×	77 0.8×	112 1.5×	12 0.2×	15	333
Reena Berman United States	10	105 0.6×	24 0.2×	113 1.2×	222 2.9×	28 0.4×	16	386
Yoko Senga Japan	5	206 1.2×	36 0.3×	41 0.5×	126 1.7×	15 0.2×	6	350

Countries citing papers authored by Howard James

Since Specialization

Citations

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

Fields of papers citing papers by Howard James

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Howard James

This figure shows the co-authorship network connecting the top 25 collaborators of Howard James. A scholar is included among the top collaborators of Howard James based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Howard James. Howard James is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Fischer, David R., Xiaoyan Sun, Arthur B. Williams, et al.. (2001). DANTROLENE REDUCES SERUM TNFα AND CORTICOSTERONE LEVELS AND MUSCLE CALCIUM, CALPAIN GENE EXPRESSION, AND PROTEIN BREAKDOWN IN SEPTIC RATS. Shock. 15(3). 200–207. 54 indexed citations

2.

Fang, Cheng‐Hui, et al.. (1995). Burn injury stimulates multiple proteolytic pathways in skeletal muscle, including the ubiquitin-energy-dependent pathway.. PubMed. 180(2). 161–70. 85 indexed citations

3.

Fang, Cheng‐Hui, et al.. (1995). Influence of burn injury on protein metabolism in different types of skeletal muscle and the role of glucocorticoids.. PubMed. 180(1). 33–42. 72 indexed citations

4.

Zamir, O, Per‐Olof Hasselgren, Howard James, T. Higashiguchi, & Josef E. Fischer. (1993). Effect of tumor necrosis factor or interleukin-1 on muscle amino acid uptake and the role of glucocorticoids.. PubMed. 177(1). 27–32. 20 indexed citations

5.

Tucci, Alessandra, Howard James, Rachel Chicheportiche, et al.. (1992). Effects of eleven cytokines and of IL-1 and tumor necrosis factor inhibitors in a human B cell assay. The Journal of Immunology. 148(9). 2778–2784. 29 indexed citations

6.

Angerås, Ulf, Marianne Hall-Angerås, Kenneth R. Wagner, et al.. (1991). Tissue metabolite levels in different types of skeletal muscle during sepsis. Metabolism. 40(11). 1147–1151. 21 indexed citations

7.

Stinnett, J. D., Jan Alexander, Bruce G. MacMillan, et al.. (1982). Plasma and Skeletal Muscle Amino Acids Following Severe Burn Injury in Patients and Experimental Animals. Annals of Surgery. 195(1). 75–89. 66 indexed citations

8.

James, Howard & Josef E. Fischer. (1981). Transport of Neutral Amino Acids at the Blood-Brain Barrier. Pharmacology. 22(1). 1–7. 22 indexed citations

9.

James, Howard, Josef E. Fischer, J. Knoll, et al.. (1981). Sixth Meeting of the ‘Italian League against Parkinson’s Disease and Extrapyramidal Disorders’. Pharmacology. 22(1). 61–92. 5 indexed citations

10.

James, Howard, et al.. (1973). Changes in plasma gastrin levels during isolated perfusions of canine lung and kidney. Journal of Surgical Research. 14(4). 353–358.

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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